"Anirban Dasgupta" appeared in Books and Chapters

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Book	Author(s)	Year	Publisher
Fundamentals of Probability: A First Course	Anirban DasGupta	2010	Springer New York
Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Asymptotic Theory of Statistics and Probability	Anirban DasGupta	2008	Springer New York
Selected Works of Debabrata Basu	Anirban DasGupta	2011	Springer New York
A Festschrift for Herman Rubin (Institute of Mathematical Statistics, Lecture Notes-Monograph Series)	Anirban Dasgupta	2004	Institute of Mathematical Statistics
Reclaiming Development Studies: Essays for Ashwani Saith	Murat Arsel; Anirban Dasgupta; Servaas Storm	2021-06	Anthem Press
VLSI Design and Test: 23rd International Symposium, VDAT 2019, Indore, India, July 4–6, 2019, Revised Selected Papers	Anirban Sengupta; Sudeb Dasgupta; Virendra Singh; Rohit Sharma; Santosh Kumar Vishvakarma	1st ed. 2019	Springer Nature Singapore
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Distributions Which Are Gaussian Convolutions	Anirban DasGupta	Statistical Decision Theory and Related Topics V	Shanti S. Gupta; James O. Berger	1994	Springer New York
Review of Univariate Probability	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Multivariate Discrete Distributions	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Multidimensional Densities	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Advanced Distribution Theory	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Multivariate Normal and Related Distributions	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Finite Sample Theory of Order Statistics and Extremes	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Essential Asymptotics and Applications	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Characteristic Functions and Applications	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Asymptotics of Extremes and Order Statistics	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Markov Chains and Applications	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Random Walks	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Brownian Motion and Gaussian Processes	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Poisson Processes and Applications	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Discrete Time Martingales and Concentration Inequalities	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Probability Metrics	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Empirical Processes and VC Theory	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Large Deviations	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
The Exponential Family and Statistical Applications	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Simulation and Markov Chain Monte Carlo	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 85 entries