Författare: Francisco Louzada

Stöd
Adriano Polpo, Ph.D.,  is an Associate Professor of Statistics at the Federal University of Sao Carlos (UFSCar, Brazil). He received his B.Sc. in Statistics from the State University of Campinas, his Ph.D. in Statistics from the University of Sao Paulo, and he was Research Associate at Florida State University. He is the coordinator of the research group GIS (Group of Inductive Statistics), and is the coauthor of more than 30 publications in statistical peer-reviewed journals, books, and book chapters. Dr. Polpo has served as Head of the Department of Statistics at UFSCar and President of the ISBr A (the Brazilian Chapter of the International Society for Bayesian Analysis).  Julio Michael Stern, Ph.D.,  is a Full Professor at the IME-USP (Institute of Mathematics and Statistics of the University of Sao Paulo) and Research Fellow of the CNPq (Brazilian National Council for Science and Technology). He received his B.Sc. and M.Sc. in Physics from the University of Sao Paulo, his Ph.D. in Operations Research from Cornell University, and his Liv.Doc. in Computer Science from the University of Sao Paulo. He was President of the ISBr A (Brazilian Chapter of the International Society for Bayesian Analysis) from 2010 to 2012 and the organizer of Max Ent 2008. He has published several books and articles in the areas of Epistemology and Logic, Mathematical Modeling and Operations Research, Statistical Theory and Methods, and Sparse and Structured Systems.  Francisco Louzada, Ph.D.,  is a Full Professor of Statistics at the Department of Applied Mathematics and Statistics, University of Sao Paulo (ICMC-USP, Brazil); Research Productivity Fellow of the Brazilian founding agency CNPq, Level 1; Director of the Center for Risk Analysis (CER); Director of the Center for Applied Mathematics and Statistics in Industry (Ce MEAI); Director of Technology Transfer, and Executive Director of External Relations at the Center for Research, Innovation and Dissemination of Mathematical Science in Industry (CEPIDCe MEAI). He received his Ph.D. in Statistics from the University of Oxford. Dr. Louzada is the author or coauthor of more than 200 publications in statistical peer-reviewed journals, books, and book chapters. He has supervised more than 100 assistant researchers, post-docs, graduate students, and undergraduates.  Rafael Izbicki, Ph.D.,  is an Assistant Professor of Statistics at the Federal University of Sao Carlos (UFSCar, Brazil). He received his Ph.D. in Statistics from Carnegie Mellon University (CMU, USA) and his B.A. from the University of Sao Paulo (IME-USP, Brazil). He has published several papers in the areas of machine learning, nonparametric statistics, foundations of statistics, decision theory, Bayesian statistics, and high-dimensional inference.  Hellinton Hatsuo Takada, Ph.D.,  is Vice President of Quantitative Research at Itaú Asset Management andis co-founder and director of Blitz-Trading. Additionally, he is a Professor at the Institute of Management Foundation (FIA, Brazil), the Assunção University Center-Pontifical Catholic University (UNIFAI-PUC, Brazil) and the Carlos Drummond de Andrade Group (GCDA, Brazil). He received his B.S., M.A., and Ph.D. degrees in Engineering from the Aeronautical Institute of Technology (ITA, Brazil), and he did his post-doctorate at the Institute of Mathematics and Statistics of the University of São Paulo (IME-USP, Brazil). He is certified with CPA-20 and CGA from the Brazilian Financial and Capital Markets Association (ANBIMA, Brazil) and has a Certificate in Quantitative Finance (CQF) from CQF Institute, UK. His research interests include finance, macroeconomic modeling, Bayesian statistics, information theory, and numerical optimization.  




4 E-böcker av Francisco Louzada

Adriano Polpo & Francisco Louzada: Interdisciplinary Bayesian Statistics
Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of …
PDF
Engelska
€96.29
Adriano Polpo & Julio Stern: Bayesian Inference and Maximum Entropy Methods in Science and Engineering
These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (Max Ent 2017), held in São Carlos, Brazil, aim to expand the avail …
PDF
Engelska
€171.19
Dani Gamerman & Francisco Louzada: Statistical Inference
This text presents a balanced account of the Bayesian and frequentist approaches to statistical inference. Along with more examples and exercises, this second edition includes new material on empiric …
PDF
Engelska
DRM
€125.31
Dani Gamerman & Francisco Louzada: Statistical Inference
This text presents a balanced account of the Bayesian and frequentist approaches to statistical inference. Along with more examples and exercises, this second edition includes new material on empiric …
EPUB
Engelska
DRM
€124.80