Book review of: Computer Age Statistical Inference: Algorithms, Evidence, and Data Science by Bradley Efron and Trevor Hastie, Cambridge University Press, 2016, Series: Institute of Mathematical Statistics Monographs (5), 495pp., ISBN13: 9781107149892, ISBN10: 1107149894, Online ISBN: 9781316576533, DOI:10.1017/CBO978131657653
In The Signal and the Noise, the New York Times’ political forecaster and statistics guru Nate Silve...
Book Reviews --Shooman, Martin L., Probabilistic Reliability: an Engineering Approach. New York: McG...
Review of the following: ROGER COOKE, EXPERTS IN UNCERTAINTY: OPINION AND SUBJECTIVE PROBABILITY IN...
Book review of "Big Data: A Revolution That Will Transform How We Live, Work and Think", by Kenneth ...
Bayesian Statistics for Beginners. A Step-by-Step Approach (Donovan and Mickey, 2019) is, perhaps, t...
Amidst the confusion and the hype around big data, Luke Dormehl’s The Formula charts the growing inf...
Review of the book Joshua M. Epstein & Robert Axtell, Growing Artificial Societies: Social Science f...
Eugene Loos, Leslie Haddon & Enid Mante-Meijer, The Social Dynamics of Information and Communication...
How Industry Analysts Shape the Digital Future explores how industry analysts have come to wield aut...
Given that there are, arguably, two primary approaches to statistics, frequentist (or classical) a...
This is pre-print of a book review of a graduate econometrics textbook entitled "Statistical Foundat...
In the words of the authors, the goal of this book was to “bring together many of the important new ...
The seminal work of Glenn Shafer-which is based on an earlier work of Arthur Dempster-was published ...
Improving Survey Methods: Lessons from Recent Research is a compilation of research by survey method...
Making social sciences more scientific: the need for predictive models by Rein Taagepera, 2008, Oxfo...
In The Signal and the Noise, the New York Times’ political forecaster and statistics guru Nate Silve...
Book Reviews --Shooman, Martin L., Probabilistic Reliability: an Engineering Approach. New York: McG...
Review of the following: ROGER COOKE, EXPERTS IN UNCERTAINTY: OPINION AND SUBJECTIVE PROBABILITY IN...
Book review of "Big Data: A Revolution That Will Transform How We Live, Work and Think", by Kenneth ...
Bayesian Statistics for Beginners. A Step-by-Step Approach (Donovan and Mickey, 2019) is, perhaps, t...
Amidst the confusion and the hype around big data, Luke Dormehl’s The Formula charts the growing inf...
Review of the book Joshua M. Epstein & Robert Axtell, Growing Artificial Societies: Social Science f...
Eugene Loos, Leslie Haddon & Enid Mante-Meijer, The Social Dynamics of Information and Communication...
How Industry Analysts Shape the Digital Future explores how industry analysts have come to wield aut...
Given that there are, arguably, two primary approaches to statistics, frequentist (or classical) a...
This is pre-print of a book review of a graduate econometrics textbook entitled "Statistical Foundat...
In the words of the authors, the goal of this book was to “bring together many of the important new ...
The seminal work of Glenn Shafer-which is based on an earlier work of Arthur Dempster-was published ...
Improving Survey Methods: Lessons from Recent Research is a compilation of research by survey method...
Making social sciences more scientific: the need for predictive models by Rein Taagepera, 2008, Oxfo...
In The Signal and the Noise, the New York Times’ political forecaster and statistics guru Nate Silve...
Book Reviews --Shooman, Martin L., Probabilistic Reliability: an Engineering Approach. New York: McG...
Review of the following: ROGER COOKE, EXPERTS IN UNCERTAINTY: OPINION AND SUBJECTIVE PROBABILITY IN...