**Introduction to Probability Theory and Statistics for Linguistics**

by Marcus Kracht

**Publisher**: UCLA 2005**Number of pages**: 137

**Description**:

Contents: Basic Probability Theory (Probability Spaces, Conditional Probability, Random Variables, Expected Word Length, Limit Theorems); Elements of Statistics (Estimators, Tests, Distributions, Correlation and Covariance, Linear Regression, Markov Chains); Probabilistic Linguistics (Probabilistic Regular Languages and Hidden Markov Models).

Download or read it online for free here:

**Download link**

(440KB, PDF)

## Similar books

**Advanced Data Analysis from an Elementary Point of View**

by

**Cosma Rohilla Shalizi**-

**Cambridge University Press**

This is a draft textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression. It began as the lecture notes.

(

**8670**views)

**Probability, Statistics and Stochastic Processes**

by

**Cosma Rohilla Shalizi**

Contents: Probability (Probability Calculus, Random Variables, Discrete and Continuous Distributions); Statistics (Handling of Data, Sampling, Estimation, Hypothesis Testing); Stochastic Processes (Markov Processes, Continuous-Time Processes).

(

**10134**views)

**Stochastic Integration and Stochastic Differential Equations**

by

**Klaus Bichteler**-

**University of Texas**

Written for graduate students of mathematics, physics, electrical engineering, and finance. The students are expected to know the basics of point set topology up to Tychonoff's theorem, general integration theory, and some functional analysis.

(

**12694**views)

**Random Matrix Models and Their Applications**

by

**Pavel Bleher, Alexander Its**-

**Cambridge University Press**

The book covers broad areas such as topologic and combinatorial aspects of random matrix theory; scaling limits, universalities and phase transitions in matrix models; universalities for random polynomials; and applications to integrable systems.

(

**14703**views)