Logo

Introduction to Probability Theory and Statistics for Linguistics

Small book cover: Introduction to Probability Theory and Statistics for Linguistics

Introduction to Probability Theory and Statistics for Linguistics
by

Publisher: UCLA
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

Book cover: Theory of Probability: A Historical EssayTheory of Probability: A Historical Essay
by - arXiv.org
This book covers the history of probability up to Kolmogorov with essential additional coverage of statistics up to Fisher. The book covers an extremely wide field, and is targeted at the same readers as any other book on history of science.
(1917 views)
Book cover: Basic Data Analysis and More: A Guided Tour Using PythonBasic Data Analysis and More: A Guided Tour Using Python
by - arXiv
In these lecture notes, a selection of frequently required statistical tools will be introduced and illustrated. They allow to post-process data that stem from, e.g., large-scale numerical simulations (aka sequence of random experiments).
(8900 views)
Book cover: Lectures on Stochastic AnalysisLectures on Stochastic Analysis
by - University of Wisconsin
Covered topics: stochastic integrals with respect to general semimartingales, stochastic differential equations based on these integrals, integration with respect to Poisson measures, stochastic differential equations for general Markov processes.
(9396 views)
Book cover: Stochastic Integration and Stochastic Differential EquationsStochastic Integration and Stochastic Differential Equations
by - 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.
(9412 views)