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Introduction to Probability Theory and Statistics
This note covers the following topics: Probability, Random variables, Random Vectors, Expected Values, The precision of the arithmetic mean, Introduction to Statistical Hypothesis Testing, Introduction to Classic Statistical Tests, Intro to Experimental Design, Experiments with 2 groups, Factorial Experiments, Confidence Intervals.
Author(s): Javier R. Movellan
127 Pages
These notes are intended to give a solid introduction to Probability Theory with a reasonable level of mathematical rigor. Topics covered includes: Elementary probability, Discrete-time finite state Markov chains, Existence of Markov Chains, Discrete-time Markov chains with countable state space, Probability triples, Limit Theorems for stochastic sequences, Moment Generating Function, The Central Limit Theorem, Measure Theory and Applications.
Author(s): Christopher King
124 Pages
Markov Random Fields and Their Applications
This book presents the basic ideas of the subject and its application to a wider audience. Topics covered includes: The Ising model, Markov fields on graphs, Finite lattices, Dynamic models, The tree model and Additional applications.
Author(s): Ross Kindermann and J. Laurie Snell
147 Pages
This note covers the following topics: Conditional expectation , Martingales , Stochastic integration-informally , Wiener process and Ito’s Formula.
Author(s): Ivan F Wilde
103 Pages
This note covers the following topics related to Probability: Laws Of Probability, Methodology, Expectation, Decision, Probabilism and Induction.
Author(s): Richard Jeffrey
NA Pages
A Compendium of Common Probability Distributions
This document describes the distributions available in Regress+ (v2.7).This Compendium supplies the formulas and parametrization as utilized in the software plus additional formulas, notes, etc.
Author(s): Michael P. McLaughlin
136 Pages
Probability, Random Processes, and Ergodic Properties
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A quick refresher for Counting techniques and Probability
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MEASURE INTEGRATION PROBABILITY
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Introduction to probability and random processes
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Lectures on Stochastic Analysis
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Introduction to Statistical Signal Processing Gray R.M. and Davisson L.D
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Lecture Notes on Probability Theory (Mrters P ps)
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