59 results on '"Perrakis A"'
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2. Lebertransplantation
3. Appendectomy
4. Conclusions
5. Stochastic Dominance and Further Theoretical and Empirical Option Research
6. Stochastic Dominance Option Pricing: Empirical Applications
7. Stochastic Dominance Option Pricing II: Option Bounds Under Transaction Costs
8. Stochastic Dominance: Introduction
9. Stochastic Dominance Option Pricing I: The Frictionless Case
10. Proportional Transaction Costs: An Introduction
11. The Improbable Heroine: Lela Karayanni and the British Secret Services in World War II Greece
12. Chronic Disease Management via Mobile Apps: The Diabetes Case
13. Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior
14. Development of Collaborative Modular Assembly Micro-Robot Colonies for Use in Natural Orifice Transluminal Endoscopic Surgery: The LABYRINTH Approach
15. Cdt1 and Geminin in DNA Replication Initiation
16. Node-Negative Breast Cancer: Predictive and Prognostic Value of Peripheral Blood Cytokeratin-19 mRNA-Positive Cells
17. Distributed audio-visual content development
18. Complexation of Active Antibacterial Adamantanol Derivatives With βCd. Structure Determination by X-Ray Crystallography and NMR
19. Numerical Methods Used by Partners
20. Statistical Models for Patient-Centered Outcomes in Clinical Studies
21. Elicitation of Priors for Intervention Effects in Educational Trial Data
22. Optimism Correction of the AUC with Complex Survey Data
23. Bayesian Hidden Markov Models for Early Warning
24. Bayesian Approaches to Model Overdispersion in Spatio-Temporal Binomial Data
25. Latent Dirichlet Allocation and Hidden Markov Models to Identify Public Perception of Sustainability in Social Media Data
26. Addressing Covariate Lack in Unit-Level Small Area Models Using GAMLSS
27. Statistical Modelling for Big and Little Data
28. A Distance-Based Statistic for Goodness-of-Fit Assessment
29. Semi-Markov Multistate Model with Interval-Censored Transition Times
30. Approximated Gaussian Random Field Under Different Parameterizations for MCMC
31. Estimating Dose and Time of Exposure from a Protein-Based Radiation Biomarker
32. Regression Analysis with Missing Data Using Interval Imputation
33. Additive Mixed Models for Location, Scale and Shape via Gradient Boosting Techniques
34. Models of Network Delay
35. Shape Analysis of AF Segments for Rapid Assessment of Mohs Layers for BCC Presence by AF-Raman Microscopy
36. State-Space Models for Clustering of Compositional Trajectories
37. Functional Copula Graphical Regression Model for Analysing Brain-Body Rhythm
38. Inference for Quasi-reaction Models with Covariate-Dependent Rates
39. Modelling of Overdispersed Count Rates
40. Learning Bayesian Networks from Ordinal Data - The Bayesian Way
41. Estimating a Lower Bound of the Population Size in Capture-Recapture Experiments with Right Censored Data
42. Sparse Intrinsic Gaussian Processes for Prediction on Manifolds: Extending Applications to Environmental Contexts
43. An Updated Wilcoxon–Mann–Whitney Test
44. Non-parametric Frailty Model for the Natural History of Prostate Cancer; Using Data from a Screening Trial
45. Parametric and Non-parametric Bayesian Imputation for Right Censored Survival Data
46. Optimizing Variable Selection in Multi-Omics Datasets: A Focus on Exclusive Lasso
47. Gene Coexpression Analysis with Dirichlet Mixture Model: Accelerating Model Evaluation Through Closed-Form KL Divergence Approximation Using Variational Techniques
48. An Underrated Prior Distribution for Proportions. The Logistic–Normal for Dynamical Football Predictions
49. Shrinkage in a Bayesian Panel Data Model with Time-Varying Coefficients
50. A Comparison of Extreme Gradient and Gaussian Process Boosting for a Spatial Logistic Regression on Satellite Data
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