Fundamentals of Causal Inference - With R
pdf | 7.92 MB | English | Isbn:‎ B09GVLK6J6 | Author: Brumback, Babette A. | Year: 2021

Statistical Inference in Financial and Insurance with R
pdf | 1.95 MB | English | Isbn:‎ B07BGXM29X | Author: Alexandre Brouste | Year: 2017

Simultaneous Statistical Inference: With Applications in the Life Sciences by Thorsten Dickhaus
English | EPUB | 2014 | 180 Pages | ISBN : 3642451810 | 3.3 MB
This monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate (FDR) and related error measures, particularly addressing applications to fields such as genetics, proteomics, neuroscience and general biology. The book will also include a detailed description how to implement these methods in practice. Moreover new developments focusing on non-standard assumptions are also included, especially multiple tests for discrete data. The book primarily addresses researchers and practitioners but will also be beneficial for graduate students.

English | 2021 | ISBN: 0262542595 | 630 pages | True EPUB | 15.94 MB
Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models.
Statistical relational AI (StaRAI) studies the integration of reasoning under uncertainty with reasoning about individuals and relations. The representations used are often called relational probabilistic models. Lifted inference is about how to exploit the structure inherent in relational probabilistic models, either in the way they are expressed or by extracting structure from observations. This book covers recent significant advances in the area of lifted inference, providing a unifying introduction to this very active field.

Statistical Theory and Inference by David J. Olive
English | PDF | 2014 | 438 Pages | ISBN : 3319049712 | 4 MB
This text is for a one semester graduate course in statistical theory and covers minimal and complete sufficient statistics, maximum likelihood estimators, method of moments, bias and mean square error, uniform minimum variance estimators and the Cramer-Rao lower bound, an introduction to large sample theory, likelihood ratio tests and uniformly most powerful tests and the Neyman Pearson Lemma. A major goal of this text is to make these topics much more accessible to students by using the theory of exponential families.

Essential Statistical Inference: Theory and Methods by Dennis D Boos
English | PDF (True) | 2013 | 567 Pages | ISBN : 1461448174 | 5.9 MB
​This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems.

Russell Davidson, "Estimation and Inference in Econometrics"
English | ISBN: 0195060113 | | 896 pages | PDF | 17 MB
Offering a unifying theoretical perspective, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation.

Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik by Bernhard Schölkopf
English | EPUB | 2013 | 295 Pages | ISBN : 3642411355 | 3.4 MB
This book honours the outstanding contributions of Vladimir Vapnik, a rare example of a scientist for whom the following statements hold true simultaneously: his work led to the inception of a new field of research, the theory of statistical learning and empirical inference; he has lived to see the field blossom; and he is still as active as ever. He started analyzing learning algorithms in the 1960s and he invented the first version of the generalized portrait algorithm.

Probabilistic Inference and Statistical Methods in Network Analysis
by Olga Moreira;
English | 2019 | ISBN: 1773615556 | 501 pages | True PDF | 87.9 MB