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557 results on '"Ghosh, Santu"'

4. Total daily energy expenditure has declined over the past three decades due to declining basal expenditure, not reduced activity expenditure.

Author

Speakman, John, de Jong, Jasper, Sinha, Srishti, Westerterp, Klaas, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip, Anderson, Liam, Arab, Lenore, Bedu-Addo, Kweku, Blanc, Stephane, Bonomi, Alberto, Bovet, Pascal, Brage, Soren, Buchowski, Maciej, Butte, Nancy, Camps, Stefan, Cooper, Jamie, Cooper, Richard, Das, Sai, Davies, Peter, Dugas, Lara, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry, Gillingham, Melanie, Ghosh, Santu, Goris, Annelies, Halsey, Lewis, Hambly, Catherine, Haisma, Hinke, Hoffman, Daniel, Hu, Sumei, Joosen, Annemiek, Kaplan, Jennifer, Katzmarzyk, Peter, Kraus, William, Kushner, Robert, Leonard, William, Löf, Marie, Martin, Corby, Matsiko, Eric, Medin, Anine, Meijer, Erwin, Neuhouser, Marian, Nicklas, Theresa, Ojiambo, Robert, Pietiläinen, Kirsi, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross, Racette, Susan, Raichlen, David, Ravussin, Eric, Redman, Leanne, Roberts, Susan, Rudolph, Michael, Sardinha, Luis, Schuit, Albertine, Silva, Analiza, Stice, Eric, Urlacher, Samuel, Valenti, Giulio, Van Etten, Ludo, Van Mil, Edgar, Wood, Brian, Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia, Loechl, Cornelia, Kurpad, Anura, Luke, Amy, Pontzer, Herman, Rodeheffer, Matthew, Rood, Jennifer, Schoeller, Dale, Wong, William, and Gurven, Michael

Subjects
Male, Female, United States, Humans, Health Expenditures, Exercise, Basal Metabolism, Energy Metabolism, Obesity
Abstract

Obesity is caused by a prolonged positive energy balance1,2. Whether reduced energy expenditure stemming from reduced activity levels contributes is debated3,4. Here we show that in both sexes, total energy expenditure (TEE) adjusted for body composition and age declined since the late 1980s, while adjusted activity energy expenditure increased over time. We use the International Atomic Energy Agency Doubly Labelled Water database on energy expenditure of adults in the United States and Europe (n = 4,799) to explore patterns in total (TEE: n = 4,799), basal (BEE: n = 1,432) and physical activity energy expenditure (n = 1,432) over time. In males, adjusted BEE decreased significantly, but in females this did not reach significance. A larger dataset of basal metabolic rate (equivalent to BEE) measurements of 9,912 adults across 163 studies spanning 100 years replicates the decline in BEE in both sexes. We conclude that increasing obesity in the United States/Europe has probably not been fuelled by reduced physical activity leading to lowered TEE. We identify here a decline in adjusted BEE as a previously unrecognized factor.

Published
2023

13. Covariance matrix testing in high dimension using random projections

Author

Ayyala, Deepak Nag, Ghosh, Santu, and Linder, Daniel F.

Subjects
Statistics - Methodology, Statistics - Computation, 62H15, 62-08
Abstract

Estimation and hypothesis tests for the covariance matrix in high dimensions is a challenging problem as the traditional multivariate asymptotic theory is no longer valid. When the dimension is larger than or increasing with the sample size, standard likelihood based tests for the covariance matrix have poor performance. Existing high dimensional tests are either computationally expensive or have very weak control of type I error. In this paper, we propose a test procedure, CRAMP, for testing hypotheses involving one or more covariance matrices using random projections. Projecting the high dimensional data randomly into lower dimensional subspaces alleviates of the curse of dimensionality, allowing for the use of traditional multivariate tests. An extensive simulation study is performed to compare CRAMP against asymptotics-based high dimensional test procedures. An application of the proposed method to two gene expression data sets is presented.

Published
2020

16. Two-Sample High Dimensional Mean Test Based On Prepivots

Author

Ghosh, Santu, Ayyala, Deepak Nag, and Hellebuyck, Rafael

Subjects
Statistics - Methodology
Abstract

Testing equality of mean vectors is a very commonly used criterion when comparing two multivariate random variables. Traditional tests such as Hotelling's T-squared become either unusable or output small power when the number of variables is greater than the combined sample size. In this paper, w}e propose a test using both prepivoting and Edgeworth expansion for testing the equality of two population mean vectors in the "large p, small n" setting. The asymptotic null distribution of the test statistic is derived and it is shown that the power of suggested test converges to one under certain alternatives when both n and p increase to infinity against sparse alternatives. Finite sample performance of the proposed test statistic is compared with other recently developed tests designed to also handle the "large p, small n" situation through simulations. The proposed test achieves competitive rates for both type I error rate and power. The usefulness of our test is illustrated by applications to two microarray gene expression data sets

Published
2020

34. Role of Particulate Matter on Air Quality Assessment of Delhi

Author

Maji, Sanjoy, Ahmed, Sirajuddin, Ghosh, Santu, Garg, Saurabh Kumar, Sheikh, Tariq, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Ahmed, Sirajuddin, editor, Abbas, S. M., editor, and Zia, Hina, editor

Published
2020
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