Inference

Elements of Causal Inference: Foundations and Learning Algorithms  eBooks & eLearning

Posted by arundhati at April 1, 2018
Elements of Causal Inference: Foundations and Learning Algorithms

Jonas Peters,‎ Dominik Janzing, "Elements of Causal Inference: Foundations and Learning Algorithms"
2017 | ISBN-10: 0262037319 | 288 pages | PDF | 21 MB

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference  eBooks & eLearning

Posted by Grev27 at March 30, 2018
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference by Cameron Davidson-Pilon
English | 2 Oct. 2015 | ISBN: 0133902838 | 250 Pages | PDF (True) | 19.4 MB
Refining the Concept of Scientific Inference When Working with Big Data : Proceedings of a Workshop

Refining the Concept of Scientific Inference When Working with Big Data :
Proceedings of a Workshop

by Ben A. Wender
English | 2017 | ISBN: 0309454441 | 114 Pages | ePUB | 2.13 MB

Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information  eBooks & eLearning

Posted by arundhati at March 29, 2018
Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information

Amos Golan, "Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information"
2017 | ISBN-10: 0199349533, 0199349525 | 488 pages | PDF | 21 MB

Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies  eBooks & eLearning

Posted by AvaxGenius at March 28, 2018
Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies

Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies By Mark J. van der Laan
English | PDF,EPUB | 2018 | 655 Pages | ISBN : 3319653032 | 17.35 MB

This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using the general template of targeted maximum likelihood estimators. These targeted machine learning algorithms estimate quantities of interest while still providing valid inference.

What's New in Java 10: Local-variable Type Inference  eBooks & eLearning

Posted by naag at March 21, 2018
What's New in Java 10: Local-variable Type Inference

What's New in Java 10: Local-variable Type Inference
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 86 MB
Genre: eLearning | Language: English

This course provides an overview of the most important features that are part of Java 10.

An Investigation of the Causal Inference between Epidemiology and Jurisprudence  eBooks & eLearning

Posted by AvaxGenius at Feb. 25, 2018
An Investigation of the Causal Inference between Epidemiology and Jurisprudence

An Investigation of the Causal Inference between Epidemiology and Jurisprudence By Minsoo Jung
English | PDF,EPUB | 2018 | 112 Pages | ISBN : 9811078610 | 2 MB

This book examines how legal causation inference and epidemiological causal inference can be harmonized within the realm of jurisprudence, exploring why legal causation and epidemiological causation differ from each other and defining related problems. The book also discusses how legal justice can be realized and how victims’ rights can be protected. It looks at epidemiological evidence pertaining to causal relationships in cases such as smoking and the development of lung cancer, and enables readers to correctly interpret and rationally use the results of epidemiological studies in lawsuits.

Trends and Perspectives in Linear Statistical Inference  eBooks & eLearning

Posted by AvaxGenius at Feb. 23, 2018
Trends and Perspectives in Linear Statistical Inference

Trends and Perspectives in Linear Statistical Inference: Proceedings of the LINSTAT2016 meeting held 22-25 August 2016 in Istanbul, Turkey By Müjgan Tez
English | PDF,EPUB | 2018 | 261 Pages | ISBN : 3319732404 | 9.12 MB

This volume features selected contributions on a variety of topics related to linear statistical inference. The peer-reviewed papers from the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat 2016) held in Istanbul, Turkey, 22-25 August 2016, cover topics in both theoretical and applied statistics, such as linear models, high-dimensional statistics, computational statistics, the design of experiments, and multivariate analysis. The book is intended for statisticians, Ph.D. students, and professionals who are interested in statistical inference.

Reasoning: Studies of Human Inference and its Foundations  eBooks & eLearning

Posted by DZ123 at Feb. 17, 2018
Reasoning: Studies of Human Inference and its Foundations

Jonathan E. Adler, Lance J. Rips, "Reasoning: Studies of Human Inference and its Foundations"
English | 2008 | ISBN: 0521848156 | PDF | pages: 1073 | 6.6 mb

Statistical Physics, Optimization, Inference, and Message-Passing Algorithms (repost)  eBooks & eLearning

Posted by arundhati at Feb. 13, 2018
Statistical Physics, Optimization, Inference, and Message-Passing Algorithms (repost)

Florent Krzakala and Federico Ricci-Tersenghi, "Statistical Physics, Optimization, Inference, and Message-Passing Algorithms"
English | ISBN: 0198743734 | 2017 | 320 pages | PDF | 3 MB