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2. Kernel Methods for Regression in Continuous Time over Subsets and Manifolds

Author

Powell, Nathan, Guo, Jia, Parachuri, Sai Tej, Burns, John, Estes, Boone, and Kurdila, Andrew

Subjects
Mathematics - Dynamical Systems
Abstract

This paper derives error bounds for regression in continuous time over subsets of certain types of Riemannian manifolds.The regression problem is typically driven by a nonlinear evolution law taking values on the manifold, and it is cast as one of optimal estimation in a reproducing kernel Hilbert space (RKHS). A new notion of persistency of excitation (PE) is defined for the estimation problem over the manifold, and rates of convergence of the continuous time estimates are derived using the PE condition. We discuss and analyze two approximation methods of the exact regression solution. We then conclude the paper with some numerical simulations that illustrate the qualitative character of the computed function estimates. Numerical results from function estimates generated over a trajectory of the Lorenz system are presented. Additionally, we analyze an implementation of the two approximation methods using motion capture data.

Published
2022

3. Koopman Methods for Estimation of Animal Motions over Unknown Submanifolds

Author

Powell, Nathan, Liu, Bowei, Guo, Jia, Parachuri, Sai Tej, and Kurdila, Andrew J.

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

This paper introduces a data-dependent approximation of the forward kinematics map for certain types of animal motion models. It is assumed that motions are supported on a low-dimensional, unknown configuration manifold $Q$ that is regularly embedded in high dimensional Euclidean space $X:=\mathbb{R}^d$. This paper introduces a method to estimate forward kinematics from the unknown configuration submanifold $Q$ to an $n$-dimensional Euclidean space $Y:=\mathbb{R}^n$ of observations. A known reproducing kernel Hilbert space (RKHS) is defined over the ambient space $X$ in terms of a known kernel function, and computations are performed using the known kernel defined on the ambient space $X$. Estimates are constructed using a certain data-dependent approximation of the Koopman operator defined in terms of the known kernel on $X$. However, the rate of convergence of approximations is studied in the space of restrictions to the unknown manifold $Q$. Strong rates of convergence are derived in terms of the fill distance of samples in the unknown configuration manifold, provided that a novel regularity result holds for the Koopman operator. Additionally, we show that the derived rates of convergence can be applied in some cases to estimates generated by the extended dynamic mode decomposition (EDMD) method. We illustrate characteristics of the estimates for simulated data as well as samples collected during motion capture experiments.

Published
2022

5. Learning Theory for Estimation of Animal Motion Submanifolds

Author

Powell, Nathan and Kurdila, Andrew

Subjects
Statistics - Machine Learning, Mathematics - Dynamical Systems
Abstract

This paper describes the formulation and experimental testing of a novel method for the estimation and approximation of submanifold models of animal motion. It is assumed that the animal motion is supported on a configuration manifold $Q$ that is a smooth, connected, regularly embedded Riemannian submanifold of Euclidean space $X\approx \mathbb{R}^d$ for some $d>0$, and that the manifold $Q$ is homeomorphic to a known smooth, Riemannian manifold $S$. Estimation of the manifold is achieved by finding an unknown mapping $\gamma:S\rightarrow Q\subset X$ that maps the manifold $S$ into $Q$. The overall problem is cast as a distribution-free learning problem over the manifold of measurements $\mathbb{Z}=S\times X$. That is, it is assumed that experiments generate a finite sets $\{(s_i,x_i)\}_{i=1}^m\subset \mathbb{Z}^m$ of samples that are generated according to an unknown probability density $\mu$ on $\mathbb{Z}$. This paper derives approximations $\gamma_{n,m}$ of $\gamma$ that are based on the $m$ samples and are contained in an $N(n)$ dimensional space of approximants. The paper defines sufficient conditions that shows that the rates of convergence in $L^2_\mu(S)$ correspond to those known for classical distribution-free learning theory over Euclidean space. Specifically, the paper derives sufficient conditions that guarantee rates of convergence that have the form $$\mathbb{E} \left (\|\gamma_\mu^j-\gamma_{n,m}^j\|_{L^2_\mu(S)}^2\right )\leq C_1 N(n)^{-r} + C_2 \frac{N(n)\log(N(n))}{m}$$for constants $C_1,C_2$ with $\gamma_\mu:=\{\gamma^1_\mu,\ldots,\gamma^d_\mu\}$ the regressor function $\gamma_\mu:S\rightarrow Q\subset X$ and $\gamma_{n,m}:=\{\gamma^1_{n,j},\ldots,\gamma^d_{n,m}\}$.

Published
2020

10. Modeling and Estimation of Motion Over Manifolds with Motion Capture Data

Author

Powell, Nathan Russell, Mechanical Engineering, Kurdila, Andrew J., Southward, Steve C., Leonessa, Alexander, and Woolsey, Craig A.

Subjects
Motion Capture, Estimation, Dynamical Systems, Learning Theory
Abstract

Modeling the dynamics of complex multibody systems, such as those representing the motion of animals, can be accomplished through well-established geometric methods. In these formulations, motions take values in certain types of smooth manifolds which are coordinate-free and intrinsic. However, the dimension of the full configuration manifold can be large. The first study in this dissertation aims to build low-dimensional models models from motion capture data. This study also expands on the so-called learning problem from statistical learning theory over Euclidean spaces to estimating functions over manifolds. Experimental results are presented for estimating reptilian motion using motion capture data. The second study in this dissertation utilizes reproducing kernel Hilbert space (RKHS) formulations and Koopman theory, to achieve some of the advantages of learning theory for IID discrete systems to estimates generated over dynamical systems. Specifically, rates of convergence are determined for estimates generated via extended dynamic mode decomposition (EDMD) by relating them to estimates generated by distribution-free learning theory. Some analytical examples illustrate the qualitative behavior of the estimates. Additionally, a examination of the numerical stability of the estimates is also provided in this study. The approximation methods are then implemented to estimate forward kinematics using motion capture data of a human running along a treadmill. The final study of this dissertation contains an examination of the continuous time regression problem over subsets and manifolds. Rates of convergence are determined using a new notion of Persistency of Excitation over flows of manifolds. For practical considerations, two approximation methods of the exact solution to the continuous regression problem are introduced. Characteristics of these approximation methods are analyzed using numerical simulations. Implementations of the approximation schemes are also performed on experimentally collected motion capture data. Doctor of Philosophy Modeling the dynamics of complex multibody systems, such as those representing the motion of animals, can be accomplished through well-established geometric methods. However, many real-world systems, including those representing animal motion, are difficult to model from first principles. Machine learning, on the other hand, has proven to be extremely powerful in its ability to leverage "big data" to generate estimates from typically independent and identically distributed (IID) data. This dissertation expands on the so-called learning problem from statistical learning theory over Euclidean spaces to those over manifolds. This dissertation consists of three studies, the first of which aims to build low-dimensional models models from motion capture data. Using the distribution-free learning theory, estimates discussed in this dissertation minimize a proxy of the expected error, which cannot be calculated in closed form. This dissertation also includes a study into approximations of the so-called Koopman operator. This study determined that the rate of convergence of the estimate to the true operator depends on the reduced dimensionality of the embedded submanifold in the high-dimensional ambient input space. While most of the current work on machine learning focuses on cases where the samples used for learning or regression are generated from an IID, stochastic, discrete measurement process, this dissertation also contains a study of the regression problem in continuous time over subsets and manifolds. Additionally, two approximation methods of the exact solution to the continuous regression problem are introduced. Each of the aforementioned studies also includes several analytical results to illustrate the qualitative behavior of the approximations and, in each study, implementations of the estimation schemes are performed on experimentally collected motion capture data.

Published
2022

13. contributors

Author

AbdelFattah, Kareem R., primary, Aboutanos, Michel B., additional, Aliperti, Louis A., additional, Anderson, John T., additional, Anjaria, Devashish J., additional, Asensio, Juan A., additional, Askari, Morad, additional, Bailey, Jeffrey A., additional, Balters, Marcus, additional, Barbosa, Ron, additional, Barie, Philip S., additional, Bedrick, Edward J., additional, Berne, John D., additional, Berry, Stepheny D., additional, Bertelotti, Robert, additional, Bhatia, Pulkesh, additional, Biffl, Walter L., additional, Biggerstaff, Brian, additional, Bini, John K., additional, Blaisdell, F. William, additional, Bozeman, Matthew C., additional, Brandes, Steven B., additional, Brasel, Karen J., additional, Braslow, Benjamin M., additional, Britt, L.D., additional, Brundage, Susan I., additional, Brush, Thomas P., additional, Burlew, Clay Cothren, additional, Marie Byers, Patricia, additional, Caban, Kim M., additional, Cannon, Jeremy, additional, Cantie, Shawn M., additional, Esparragon, José Ceballos, additional, Champion, Howard R., additional, Chandler, Benjamin, additional, Chang, David C., additional, Cheung, Steven, additional, Chiu, William C., additional, Christmas, A. Britton, additional, Ciesla, David J., additional, Cioffi, William G., additional, Cocanour, Christine S., additional, Cohen, Mitchell J., additional, Coimbra, Raul, additional, Collister, Peter, additional, Cornwell, Edward E., additional, Cox, Thomas B., additional, Croce, Martin A., additional, Danton, Gary H., additional, Davis, Kimberly A., additional, Degiannis, Elias, additional, Deitch, Edwin A., additional, Denney, Richard, additional, Dente, Christopher J., additional, Desai, Urmen, additional, Dicker, Rochelle A., additional, Diebel, Lawrence N., additional, Dimitryi, Karev, additional, Doben, Andrew R., additional, Doucet, Jay, additional, Duane, Therese M., additional, DuBose, Joe, additional, Dubov, Wayne, additional, Duchesne, Juan C., additional, Dudrick, Stanley J., additional, Durham, Rodney, additional, Durso, Anthony M., additional, Eachempati, Soumitra R., additional, Eastridge, Colonel (Ret.) Brian, additional, Ebadat, Aileen, additional, Efron, David T., additional, Elster, Eric, additional, Englehart, Michael, additional, Esposito, Thomas J., additional, Estebanez, Glyn, additional, Evans, Susan, additional, Fakhry, Samir M., additional, Falvo, Anthony, additional, Feliciano, David V., additional, Fernández, Luis G., additional, Fink, Mitchell, additional, Flint, Lewis M., additional, Fry, Donald E., additional, Fujita, Takashi, additional, Galante, Joseph M., additional, Gamelli, Richard L., additional, García-Núñez, Luis Manuel, additional, Gentilello, Larry M., additional, Gilani, Ramyar, additional, Glance, Laurent G., additional, Gonzalez, Nestor R., additional, Grabo, Daniel J., additional, Gracia, Gerald J., additional, Gracias, Vincente H., additional, Gross, Kirby R., additional, Gross, Ronald I., additional, Guidry, Chrissy, additional, Gunter, Oliver L., additional, Gutmann, Joseph M., additional, Hale, Erin, additional, Hameed, S. Morad, additional, Hartmann, Molly, additional, Hauser, Carl, additional, Henry, Sharon, additional, Horst, Mathilda, additional, Hoschander, Ari, additional, Houin, Herman P., additional, Hoyt, David, additional, Huston, Jared M., additional, Ipaktchi, Kyros, additional, Joseph, D’Andrea, additional, Jurkovich, Gregory J., additional, Kalandiak, Steven, additional, Karmy-Jones, Riyad, additional, Khoo, Larry T., additional, Kiraly, Laszlo, additional, Kirton, Orlando C., additional, Ksycki, Michael, additional, Kunac, Anastasia, additional, Laeeq, Kulsoom, additional, Ledgerwood, Anna M., additional, Lemelman, Benjamin T., additional, Leppäniemi, Ari, additional, Livingston, David H., additional, Loden, Jason, additional, Lombardo, Gary, additional, Loukas, Andrew, additional, Lucas, Charles E., additional, Luchette, Fred A., additional, Mabry, Charles D., additional, Mackersie, Robert C., additional, Maggio, Paul M., additional, Magnotti, Louis J., additional, Mah, John W., additional, Malhotra, Ajai K., additional, Malinoski, Darren, additional, Maloley-Lewis, Brittney J., additional, Marini, Corrado Paolo, additional, Martin, Colonel Matthew J., additional, Mason, Leonard, additional, Mattox, Kenneth L., additional, Maull, Kimball, additional, Mayberry, John C., additional, Mazzini, Federico N., additional, McFarren, Christopher, additional, McSwain, Norman E., additional, Meallet, Mario A., additional, Meredith, J. Wayne, additional, Michetti, Christopher P., additional, Miller, Keith R., additional, Miller, Preston R., additional, Miller, Richard S., additional, Minei, Joseph P., additional, Mir, Haaris, additional, Mitchell, Frank L., additional, Mohr, Alicia M., additional, Moore, Ernest E., additional, Mosenthal, Anne C., additional, Munera, Felipa, additional, Murdock, Alan D., additional, Nabri, Mamoun, additional, Napolitano, Lena M., additional, Nash, Nicholas A., additional, Norwood, Scott H., additional, Oeltjen, John, additional, Okwuosa, Chris, additional, Osler, Turner M., additional, Osmolak, Angela, additional, Otomo, Yasuhiro, additional, Owens, Patrick, additional, Owings, John T., additional, Pachter, H. Leon, additional, Palange, David, additional, Panthaki, Zubin Jal, additional, Parikh, Manish S., additional, Pasquale, Michael D., additional, Peitzman, Andrew B., additional, Perez-Alonso, Alejandro, additional, Perkins, Christopher H., additional, Person, Austin, additional, Petrone, Patrizio, additional, Pharaon, K. Shad, additional, Philp, Allan S., additional, Pierre, Edgar J., additional, Piper, Greta L., additional, Plani, Frank, additional, Polanco, Patricio, additional, Policastro, Anthony, additional, Powell, Nathan J., additional, Pretorius, Riaan, additional, Propper, Brandon, additional, Pust, G. Daniel, additional, Putty, Bradley S., additional, Puyana, Juan Carlos, additional, Quinnan, Stephen M., additional, Quintana, David J., additional, Reed, R. Lawrence, additional, Reiser, Bibiana J., additional, Rhee, Peter, additional, Rhodes, Michael, additional, Rich, Norman M., additional, Richardson, J. David, additional, Richart, Charles M., additional, Rivas, Luis A., additional, Roberts, Jennifer C., additional, Rodríguez, Aurelio, additional, Rodríguez, Jorge L., additional, Rodriguez-García, Erwin, additional, Roeder, Rosaine, additional, Rojas-Tirado, David, additional, Rotondo, Michael F., additional, Rowell, Susan, additional, Rubano, Jerry A., additional, Rubiano, Andrés M., additional, Rushing, Amy, additional, Sade, Irony C., additional, Salgado, Christopher, additional, Salim, Ali, additional, Salliant, Noelle, additional, Salsamendi, Jason, additional, Sampson, James B., additional, Sanchez, Juan A., additional, Sánchez Maldonado, William, additional, Scalea, Thomas M., additional, Schecter, William P., additional, Schipper, Paul, additional, Schreiber, Martin, additional, Schulz, John T., additional, Schwab, C. William, additional, Serio, Stephen, additional, Shah, Parth, additional, Shapiro, Marc J., additional, Shatz, David, additional, Shetty, Shreya, additional, Shiroff, Adam M., additional, Sifri, Ziad C., additional, Sing, Ronald, additional, Sisley, Amy C., additional, Smith, R. Stephen, additional, Smith-Singares, Eduardo, additional, Spain, David A., additional, Spoerke, Nicholas, additional, Srinivasan, Ananth, additional, Stein, Deborah M., additional, Stirparo, Joseph J., additional, Stuke, Lance E., additional, Sukumar, Mithran, additional, Sundaram, Abhishek, additional, Svetanoff, Wendy Jo, additional, Swan, Kenneth G., additional, Tashjian, Vartan S., additional, Templin, Thomas, additional, Thal, Erwin, additional, Thaller, Seth R., additional, Tiesi, Gregory, additional, Tieu, Brandon, additional, Tillou, Areti, additional, Tinkoff, Glen, additional, Tisherman, Samuel, additional, Todd, S. Rob, additional, Torgersen, Zachary, additional, Trafton, Peter G., additional, Traynham, Mark, additional, Scherer, L.R. Tres, additional, Trunkey, Donald D., additional, Tsai, Peter I., additional, Tuggle, David W., additional, Udekwu, Anthony M., additional, Valadka, Alex B., additional, VanDerHeyden, Nicole, additional, Varghese, Thomas K., additional, Wagner, Michel, additional, Wall, Matthew J., additional, Watkins, Anthony, additional, Weigelt, John, additional, Weireter, Leonard J., additional, Welling, David R., additional, White, Paul W., additional, Wiegand, Lucas R., additional, Wilkins, Harry E., additional, Wilson, Robert F., additional, Wisner, David H., additional, and Yeh, D. Dante, additional

Published
2016
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15. Electronic ethics: lawyers' ethical obligations in a cyber practice

Author

Powell, Nathan

Subjects
Data security -- Laws, regulations and rules, Fiduciary duties -- Laws, regulations and rules, Legal ethics -- Standards -- Management, Attorney-client privilege -- Laws, regulations and rules -- Ethical aspects, Government regulation, Company business management, Data security issue, Law, Philosophy and religion
Abstract

INTRODUCTION Information has become one of the most valuable commodities in our economy. With its increased value, and with our ever-increasing reliance on information technology (IT) systems, attempts to appropriate [...]

Published
2016

16. Hong Kong Updates Listing Regime For SPACs From 1 January 2022

Author

Powell, Nathan

Subjects
Stock-exchange -- Listings, Government regulation, Business, international
Abstract

The Hong Kong Stock Exchange recently announced the new rules to create a listing regime for special purpose acquisition companies (SPACs) that will take effect on 1 January 2022. The [...]

Published
2022

19. Employment.

Author

Ash, Lori A., Jensen, Martin, Powell, Nathan W., and Wright, Jill D.

Subjects
Labor law -- Surveys
Published
2003

25. LENNARD 39, JEFFERSON 34

Author

Powell, Nathan

Subjects
General interest, News, opinion and commentary
Abstract

Byline: NATHAN POWELL; Times Correspondent RUSKIN -- An offensive shootout in the first half was decided in the final moments by a Lennard defensive stop as Jefferson quarterback Cade Weldon [...]

Published
2014

26. JEFFERSON 28, LETO 2

Author

Powell, Nathan

Subjects
General interest, News, opinion and commentary
Abstract

Byline: NATHAN POWELL; TIMES CORRESPONDENT TALLAHASSEE -- Jefferson started slowly with backup quarterback Randall Bradford in for injured Cade Weldon, but the Dragons scored twice in the last minute of [...]

Published
2014

27. Moves To Loosen Restrictions On Banking Services To SMEs In Hong Kong Are 'A Welcome Step'

Author

Powell, Nathan

Subjects
Hong Kong. Monetary Authority -- Powers and duties, Banks (Finance) -- Laws, regulations and rules, Money laundering -- Laws, regulations and rules, Antiterrorism measures -- Laws, regulations and rules, Banking law -- Analysis, Small and medium sized companies -- Laws, regulations and rules, Government regulation, Business, international
Abstract

The message from the Hong Kong Monetary Authority that banks must do more to cater to foreign start-ups and small and medium-sized businesses has been welcomed by the head of [...]

Published
2016

28. EAST BAY 14, WHARTON 7

Author

Powell, Nathan

Subjects
General interest, News, opinion and commentary
Abstract

Byline: NATHAN POWELL; TIMES CORRESPONDENT TAMPA -- In a defensive battle throughout, East Bay came out on top thanks to a 68-yard touchdown run by James Hambrick in the waning [...]

Published
2014

29. NEWSOME 22, ALONSO 21

Author

Powell, Nathan

Subjects
General interest, News, opinion and commentary
Abstract

Byline: NATHAN POWELL; TIMES CORRESPONDENT LITHIA -- The Wolves won it on a touchdown and two-point conversion on the game's final plays. It was a 7-7 defensive battle through three [...]

Published
2014

30. TALLAHASSEE LEON 48, STRAWBERRY CREST 9

Author

Powell, Nathan

Subjects
General interest, News, opinion and commentary
Abstract

Byline: NATHAN POWELL; Times Correspondent DOVER -- Coming down from Tallahassee, the Leon Lions made it clear early that if Strawberry Crest wanted to come away with a victory, it [...]

Published
2014

31. SPOTO 27, STRAWBERRY CREST 22

Author

Powell, Nathan

Subjects
General interest, News, opinion and commentary
Abstract

Byline: NATHAN POWELL; Times Correspondent DOVER -- Strawberry Crest came out the gates hot, leading 15-0 after an Arjay Smith rushing touchdown and a passing touchdown from Tristan Hyde to [...]

Published
2014

32. SPOTO 35, WHARTON 2

Author

Powell, Nathan

Subjects
Football teams, General interest, News, opinion and commentary
Abstract

Byline: NATHAN POWELL; Times Correspondent RIVERVIEW -- Spoto started the game the way coach Dale Caparaso sought. The Spartans scored three touchdowns during the first quarter and played stout defense [...]

Published
2014

34. YOUR VIEWS.

Author

Alfa, Adi, Conrad, Ameera, Arthur, Brodie, Lunt, Chantelle, Mufti, Felix, Khatun, Jubeda, Saha, Keith, Paul, Maria, Patel, Natasha, Powell, Nathan, Reid, Paislie, Graham, Patrick, Aluko, Tayo, Gillanders, Ian A., and Caryer, Sheila

Subjects
STAGE actors & actresses, THEATER tickets
Published
2023

35. contributors

Author

AbdelFattah, Kareem R., Aboutanos, Michel B., Aliperti, Louis A., Anderson, John T., Anjaria, Devashish J., Asensio, Juan A., Askari, Morad, Bailey, Jeffrey A., Balters, Marcus, Barbosa, Ron, Barie, Philip S., Bedrick, Edward J., Berne, John D., Berry, Stepheny D., Bertelotti, Robert, Bhatia, Pulkesh, Biffl, Walter L., Biggerstaff, Brian, Bini, John K., Blaisdell, F. William, Bozeman, Matthew C., Brandes, Steven B., Brasel, Karen J., Braslow, Benjamin M., Britt, L.D., Brundage, Susan I., Brush, Thomas P., Burlew, Clay Cothren, Marie Byers, Patricia, Caban, Kim M., Cannon, Jeremy, Cantie, Shawn M., Esparragon, José Ceballos, Champion, Howard R., Chandler, Benjamin, Chang, David C., Cheung, Steven, Chiu, William C., Christmas, A. Britton, Ciesla, David J., Cioffi, William G., Cocanour, Christine S., Cohen, Mitchell J., Coimbra, Raul, Collister, Peter, Cornwell, Edward E., III, Cox, Thomas B., Croce, Martin A., Danton, Gary H., Davis, Kimberly A., Degiannis, Elias, Deitch, Edwin A., Denney, Richard, Dente, Christopher J., Desai, Urmen, Dicker, Rochelle A., Diebel, Lawrence N., Dimitryi, Karev, Doben, Andrew R., Doucet, Jay, Duane, Therese M., DuBose, Joe, Dubov, Wayne, Duchesne, Juan C., Dudrick, Stanley J., Durham, Rodney, Durso, Anthony M., Eachempati, Soumitra R., Eastridge, Colonel (Ret.) Brian, Ebadat, Aileen, Efron, David T., Elster, Eric, Englehart, Michael, Esposito, Thomas J., Estebanez, Glyn, Evans, Susan, Fakhry, Samir M., Falvo, Anthony, Feliciano, David V., Fernández, Luis G., Fink, Mitchell, Flint, Lewis M., Fry, Donald E., Fujita, Takashi, Galante, Joseph M., Gamelli, Richard L., García-Núñez, Luis Manuel, Gentilello, Larry M., Gilani, Ramyar, Glance, Laurent G., Gonzalez, Nestor R., Grabo, Daniel J., Gracia, Gerald J., Gracias, Vincente H., Gross, Kirby R., Gross, Ronald I., Guidry, Chrissy, Gunter, Oliver L., Jr., Gutmann, Joseph M., Hale, Erin, Hameed, S. Morad, Hartmann, Molly, Hauser, Carl, Henry, Sharon, Horst, Mathilda, Hoschander, Ari, Houin, Herman P., Hoyt, David, Huston, Jared M., Ipaktchi, Kyros, Joseph, D’Andrea, Jurkovich, Gregory J., Kalandiak, Steven, Karmy-Jones, Riyad, Khoo, Larry T., Kiraly, Laszlo, Kirton, Orlando C., Ksycki, Michael, Kunac, Anastasia, Laeeq, Kulsoom, Ledgerwood, Anna M., Lemelman, Benjamin T., Leppäniemi, Ari, Livingston, David H., Loden, Jason, Lombardo, Gary, Loukas, Andrew, Lucas, Charles E., Luchette, Fred A., Mabry, Charles D., Mackersie, Robert C., Maggio, Paul M., Magnotti, Louis J., Mah, John W., Malhotra, Ajai K., Malinoski, Darren, Maloley-Lewis, Brittney J., Marini, Corrado Paolo, Martin, Colonel Matthew J., Mason, Leonard, Mattox, Kenneth L., Maull, Kimball, Mayberry, John C., Mazzini, Federico N., Dr., McFarren, Christopher, McSwain, Norman E., Jr., Meallet, Mario A., Meredith, J. Wayne, Michetti, Christopher P., Miller, Keith R., Miller, Preston R., Miller, Richard S., Minei, Joseph P., Mir, Haaris, Mitchell, Frank L., Mohr, Alicia M., Moore, Ernest E., Mosenthal, Anne C., Munera, Felipa, Murdock, Alan D., Nabri, Mamoun, Napolitano, Lena M., Nash, Nicholas A., Norwood, Scott H., Oeltjen, John, Okwuosa, Chris, Osler, Turner M., Osmolak, Angela, Otomo, Yasuhiro, Owens, Patrick, Owings, John T., Pachter, H. Leon, Palange, David, Panthaki, Zubin Jal, Parikh, Manish S., Pasquale, Michael D., Peitzman, Andrew B., Perez-Alonso, Alejandro, Perkins, Christopher H., Person, Austin, Petrone, Patrizio, Pharaon, K. Shad, Philp, Allan S., Pierre, Edgar J., Piper, Greta L., Plani, Frank, Polanco, Patricio, Policastro, Anthony, Powell, Nathan J., Pretorius, Riaan, Propper, Brandon, Pust, G. Daniel, Putty, Bradley S., Puyana, Juan Carlos, Quinnan, Stephen M., Quintana, David J., Reed, R. Lawrence, II, Reiser, Bibiana J., Rhee, Peter, Rhodes, Michael, Rich, Norman M., Richardson, J. David, Richart, Charles M., Rivas, Luis A., Roberts, Jennifer C., Rodríguez, Aurelio, Rodríguez, Jorge L., Rodriguez-García, Erwin, Roeder, Rosaine, Rojas-Tirado, David, Rotondo, Michael F., Rowell, Susan, Rubano, Jerry A., Rubiano, Andrés M., Rushing, Amy, Sade, Irony C., Salgado, Christopher, Salim, Ali, Salliant, Noelle, Salsamendi, Jason, Sampson, James B., Sanchez, Juan A., Sánchez Maldonado, William, Scalea, Thomas M., Schecter, William P., Schipper, Paul, Schreiber, Martin, Schulz, John T., III, Schwab, C. William, Serio, Stephen, Shah, Parth, Shapiro, Marc J., Shatz, David, Shetty, Shreya, Shiroff, Adam M., Sifri, Ziad C., Sing, Ronald, Sisley, Amy C., Smith, R. Stephen, Smith-Singares, Eduardo, Spain, David A., Spoerke, Nicholas, Srinivasan, Ananth, Stein, Deborah M., Stirparo, Joseph J., Stuke, Lance E., Sukumar, Mithran, Sundaram, Abhishek, Svetanoff, Wendy Jo, Swan, Kenneth G., Tashjian, Vartan S., Templin, Thomas, Thal, Erwin, Thaller, Seth R., Tiesi, Gregory, Tieu, Brandon, Tillou, Areti, Tinkoff, Glen, Tisherman, Samuel, Todd, S. Rob, Torgersen, Zachary, Trafton, Peter G., Traynham, Mark, Scherer, L.R. Tres, Trunkey, Donald D., Tsai, Peter I., Tuggle, David W., Udekwu, Anthony M., Valadka, Alex B., VanDerHeyden, Nicole, Varghese, Thomas K., Jr., Wagner, Michel, Wall, Matthew J., Jr., Watkins, Anthony, Weigelt, John, Weireter, Leonard J., Jr., Welling, David R., White, Paul W., Wiegand, Lucas R., Wilkins, Harry E., Wilson, Robert F., Wisner, David H., and Yeh, D. Dante

Published
2016
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36. Finance Update - Impressively Multi-Talented - Why Jersey Has Been Rated A Top Offshore Jurisdiction Six Times In A Row

Author

Cook, Geoff, Haithwaite, Emily, Graham, Keith, MacLeod, Malcolm, Hall, Mike, Vermeulen, Nick, Powell, Nathan, Costello, Sean, Rawal, Hiren, and Pinchbeck, Emma-Lucy

Subjects
Jersey Finance Ltd. -- Evaluation, Nonprofit organizations -- Evaluation, Business, international
Abstract

IMPRESSIVELY MULTI-TALENTED By Geoff Cook Jersey continues to highlight its expertise in key markets, expanding its reach internationally while announcing innovative measures to meet market demands. The latest Global Financial [...]

Published
2012

37. EXCHANGE.

Author

POWELL, NATHAN and COULDWELL, ANDREW

Published
2017

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