Introduction to Probability with Texas Hold 'em Examples
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A01=Frederic Paik Schoenberg
Author_Frederic Paik Schoenberg
Ay Dy
Bernoulli Random Variables
Binomial Random Variables
Board Cards
Board Combinations
cards
Category=PBC
Category=PBT
central limit theorem
combinatorial analysis
Conditional Expectation
conditional probability
Continuous Random Variable
Cumulative Distribution Function
Current Bet
discrete distributions
Discrete Random Variables
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Expected Profit
games of chance
General Addition Rule
Geometric Random Variable
Gr Av
high
High Stakes Poker
hole
Hole Cards
kind
Lederer Checks
Markov inequalities
poker
Poker odds
poker probabilities
poker probability strategies
Posterior Density
Queen High
random
Random Variable
Relative Frequency Histogram
Simple Random Walk
stakes
statistical modeling
statistics of poker
Straight Flush
three
Uniform Random Variable
variable
WSOP
Product details
- ISBN 9781498776189
- Weight: 434g
- Dimensions: 138 x 216mm
- Publication Date: 28 Nov 2016
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Paperback
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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.
