Introduction to Probability with Texas Hold 'em Examples
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A01=Frederic Paik Schoenberg
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Bernoulli Random Variables
Binomial Random Variables
Board Cards
Board Combinations
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central limit theorem
combinatorial analysis
Conditional Expectation
conditional probability
Continuous Random Variable
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Cumulative Distribution Function
Current Bet
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discrete distributions
Discrete Random Variables
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Expected Profit
games of chance
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High Stakes Poker
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Lederer Checks
Markov inequalities
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poker
Poker odds
poker probabilities
poker probability strategies
Posterior Density
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Queen High
random
Random Variable
Relative Frequency Histogram
Simple Random Walk
softlaunch
stakes
statistical modeling
statistics of poker
Straight Flush
three
Uniform Random Variable
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WSOP
Product details
- ISBN 9781138469655
- Weight: 710g
- Dimensions: 138 x 216mm
- Publication Date: 13 Nov 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
- Language: English
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Introduction to Probability with Texas Hold'em Examples illustrates both standard and advanced probability topics using the popular poker game of Texas Hold'em, rather than the typical balls in urns. The author uses students' natural interest in poker to teach important concepts in probability.
Frederic Paik Schoenberg is a professor and graduate vice-chair of statistics at UCLA. He is also co-editor of the Journal of Environmental Statistics. He earned a Ph.D. in statistics from UC Berkeley. His research interests include point processes, image analysis, time series, and applications in seismology and fire ecology.
