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: Non-Uniform Random Variate GenerationNon-Uniform Random Variate Generation
by - Springer
The book on small field on the crossroads of statistics, operations research and computer science. The applications of random number generators are wide and varied. The study of non-uniform random variates is precisely the subject area of the book.
(11412 views)
Book cover: Inverse Problem Theory and Methods for Model Parameter EstimationInverse Problem Theory and Methods for Model Parameter Estimation
by - SIAM
The first part deals with discrete inverse problems with a finite number of parameters, while the second part deals with general inverse problems. The book for scientists and applied mathematicians facing the interpretation of experimental data.
(12706 views)
Book cover: Markov Chains and Stochastic StabilityMarkov Chains and Stochastic Stability
by - Springer
The book on the theory of general state space Markov chains, and its application to time series analysis, operations research and systems and control theory. An advanced graduate text and a monograph treating the stability of Markov chains.
(17744 views)
Book cover: Probability and Statistics: A Course for Physicists and EngineersProbability and Statistics: A Course for Physicists and Engineers
by - De Gruyter Open
This is an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. Designed for students in engineering and physics.
(2583 views)