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introduction to probability for computing
Folder: books/introduction-to-probability-for-computing
28 items under this folder.
Nov 15, 2023
A Little Bit of Queueing Theory
Nov 15, 2023
Applications of Tail Bounds: Confidence Intervals: Balls and Bins
Nov 15, 2023
Bayesian Statistical Inference
Nov 15, 2023
Before We Start: Some Mathematical Basics
Nov 15, 2023
Classical Statistical Inference
Nov 15, 2023
Common Discrete Random Variables
Nov 15, 2023
Continuous Random Variables: Joint Distributions
Nov 15, 2023
Continuous Random Variables: Single Distribution
Nov 15, 2023
Discrete-Time Markov Chains: Finite-State
Nov 15, 2023
Discrete-Time Markov Chains: Infinite-State
Nov 15, 2023
Ergodicity for Finite-State Discrete-Time Markov Chains
Nov 15, 2023
Estimators for Mean and Variance
Nov 15, 2023
Event-Driven Simulation
Nov 15, 2023
Expectation
Nov 15, 2023
Generating Random Variables for Simulation
Nov 15, 2023
Hashing Algorithms
Nov 15, 2023
Heavy Tails: The Distributions of Computing
Nov 15, 2023
Laplace Transforms
Nov 15, 2023
Las Vegas Randomized Algorithms
Nov 15, 2023
Monte Carlo Randomized Algorithms
Nov 15, 2023
Normal Distribution
Nov 15, 2023
Preface and Contents
Nov 15, 2023
Primality Testing
Nov 15, 2023
Probability on Events
Nov 15, 2023
Tail Bounds
Nov 15, 2023
The Poisson Process
Nov 15, 2023
Variance, Higher Moments, and Random Sums
Nov 15, 2023
z-Transforms