<--- Back to Details
First PageDocument Content
Markov processes / Models of computation / Markov models / Differential equations / Petri net / Probabilistic automaton / Markov chain / Hybrid automaton / Random variable / Statistics / Probability and statistics / Automata theory
Date: 2015-03-25 18:43:01
Markov processes
Models of computation
Markov models
Differential equations
Petri net
Probabilistic automaton
Markov chain
Hybrid automaton
Random variable
Statistics
Probability and statistics
Automata theory

HASL: a New Approach for Performance Evaluation and Model Checking from Concepts to Experimentation Paolo Ballarini, Benoˆıt Barbot, Marie Duflot, Serge

Add to Reading List

Source URL: www.lsv.ens-cachan.fr

Download Document from Source Website

File Size: 1,12 MB

Share Document on Facebook

Similar Documents

Homework 4, Statistical Analysis I, Summer 2018 Problem 1: Suppose the random variable X can take on the values 17, 12, −10, and 23 with respective probabilities .3, .15, .2, and .35. Compute the expected value

Homework 4, Statistical Analysis I, Summer 2018 Problem 1: Suppose the random variable X can take on the values 17, 12, −10, and 23 with respective probabilities .3, .15, .2, and .35. Compute the expected value

DocID: 1uW2K - View Document

TWO AGENT MILD OPTIMIZATION NORMAN PERLMUTTER, JESSICA TAYLOR, CONNOR FLEXMAN, M. VALENTINE SMITH, ET AL 1. Two advisors with independent errors Consider an action space A. (In other words, A is a random variable

TWO AGENT MILD OPTIMIZATION NORMAN PERLMUTTER, JESSICA TAYLOR, CONNOR FLEXMAN, M. VALENTINE SMITH, ET AL 1. Two advisors with independent errors Consider an action space A. (In other words, A is a random variable

DocID: 1uQiR - View Document

Moments of Truncated Gaussians Benjamin Marlin, Mohammad Emtiyaz Khan, and Kevin Patrick Murphy University of British Columbia, Vancouver, Canada August 22, 2012 Given a Gaussian random variable x with mean µ and varian

Moments of Truncated Gaussians Benjamin Marlin, Mohammad Emtiyaz Khan, and Kevin Patrick Murphy University of British Columbia, Vancouver, Canada August 22, 2012 Given a Gaussian random variable x with mean µ and varian

DocID: 1uNMa - View Document

Distributions of Functions of Normal Random Variables Version 25 Jan 2006 The Unit (or Standard) Normal The unit or standard normal random variable U is a normally distributed variable with mean zero and variance one, i.

Distributions of Functions of Normal Random Variables Version 25 Jan 2006 The Unit (or Standard) Normal The unit or standard normal random variable U is a normally distributed variable with mean zero and variance one, i.

DocID: 1uore - View Document

Chapter 6  Parameter Estimation Take a random variable x described by a pdf f (x): the sample space is defined to be the set of all possible values of x. The set of n independent measurements of the random variable x, {x

Chapter 6 Parameter Estimation Take a random variable x described by a pdf f (x): the sample space is defined to be the set of all possible values of x. The set of n independent measurements of the random variable x, {x

DocID: 1rnil - View Document