Probability Worksheets

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Bayesian Network tools in Java (BNJ) is an open-source suite of software tools for research and development using graphical models of probability. It is published by the Kansas State University Laboratory for Knowledge Discovery in Databases (KDD). Platforms: *nix

The Metropolis-Hastings Sampler is the most common Markov-Chain-Monte-Carlo (MCMC) algorithm used to sample from arbitrary probability density functions (PDF). Suppose you want to simulate samples from a random variable which can be described by an arbitrary PDF, i.e., any function which... Platforms: Windows, Mac, *nix, Python, BSD Solaris

This script uses fact that any probability distributions can be sampled by computing the cumulative distribution, drawing a random number from 0 to 1, and finding the x-value where that number is attained on the cumulative distribution. The searchsorted(..) function performs this search. This... Platforms: Windows, Mac, *nix, Python, BSD Solaris

You can enter the probability of occurance of a group of symbols for the program and you will get the Fano code for each symbol. This is my first time to attach files to this category and hope that it will be useful for all. Platforms: Matlab

This function generates random numbers distributed according to the Laplace distribution using the Probability integral transformation Platforms: Matlab

It calculate the arithmetic code of a string of char, subject to an alphabet "A" and a probability distribution "P". http://en.wikipedia.org/wiki/Arithmetic_coding Platforms: Matlab

Matlab worksheets for the synthesis and simulation of 2nd, 3rd, and 4th order systems using passive loop filters. The method employed is derived from Dean Banerjee's Book "PLL Performance, Simulation, and Design" 4th Edition. Platforms: Matlab

Usage:Jitter = Pn2Jitter(f, Lf, fc)Inputs:f: Frequency vector (phase noise break points), in Hz, row or column.Lf: Phase noise vector, in dBc/Hz, same dimensions, size(), as f.fc: Carrier frequency, in Hz, a scalar.Output:Jitter: RMS jitter, in seconds.Phase noise data can be derived from... Platforms: Matlab

format : [huffcodes,H,Hav,e]=huffmancoding(p,n)inputs: p is the probability of each alphabet symbol( eg:p=[.3 .2 .2 .2 .06 .04] )n is an integer that determines number of symbols at each frame(default:n=1)outputs: huffcodes: huffmancodesH: source entropyHav: average entropy for codinge: codding... Platforms: Matlab

Rt: returns seriesalpha: VaR levelOUTPUT:CFVAR: Cornish fisher VaR with alpha probability and time horizon as the returns series frequancy Platforms: Matlab

Creates a 1,2 or 3 dimensional probability distribution supported on user-supplied lattice points subject to linear and moment constraints. A trite financial example is provided. Platforms: Matlab

This is a MATLAB(R) implementation of the ideas discussed in Lopez-Calva, G. and K. Shea, "Fitting Survival Probability Models," WILMOTT Magazine, issue 45, pp. 16-22.We estimate the parameters of three different survival probability models based on credit default swap (CDS) spreads. The... Platforms: Matlab

The algorithm that modeling the processof arbitrary picking matches from matchboxes with equal probability. The process will terminate when one of matchboxes get empty Platforms: Matlab

The algorithm that modeling the processof arbitrary picking matches from matchboxes with equal probability. The process will terminate when one of matchboxes get empty Platforms: Matlab

Compares probabilities of two binomial samples X, Y from a Bernoully experiments with probability p1 for set X and p2 for set YTest the null hypothesis H_0: p1 = p2 vs alternatives H_1: p1 > p2 H_2: p1 < p2 H_3: p1 != p2 Input: X - row of 0 or 1 Y - row of 0 or 1 Output: z - normal statistics... Platforms: Matlab

LEPSTEST [lepss] = lepstest(cumclimate,xo,xf,refprob) This code computes LEPS score LEPS: Linear Error Probability Space (Ward and Folland, 1991) lepss - Linear Error Probability Space Score xo - measured values: column vector or scalar xf - forecasted values: column vector or scalar... Platforms: Matlab

A very simple program that gives Poisson probability P(m,n) where m is the average outcome and n is one certain outcome. Platforms: Matlab

This m-file calculates the blocking or loss probability of a network node or link using the Erlang B loss formula. It does not use the formula directly (which doesn't work with high numbers) but an iterative algorithm. Tested with MATLAB R13 and Octave. Platforms: Matlab

The codes follow the paper Radkov P. and Minkova L. (2011) "Assessing bank's default probability using the ASRF model", Serials Publications' IJTMM, to derivation of implied default probabilities from the Vasicek model (asymptotic single risk factor model) and Basel 2 framework. The method for... Platforms: Matlab