• AutoClass

  • Referenced in 70 articles [sw26092]
  • classifications with an approximate posterior probability of the distribution function w.r.t. the data, obtained ... necessitated by the computational complexity of the joint probability, and our marginalization is w.r.t ... space. This posterior probability rating allows direct comparison of alternate density functions that differ...
  • DPpackage

  • Referenced in 72 articles [sw10495]
  • probability distributions or the space of all regression functions. Unfortunately, posterior distributions ranging over function ... spaces are highly complex and hence sampling methods play a key role. This paper provides...
  • AK-MCS

  • Referenced in 72 articles [sw18303]
  • more and more complex computer codes and the evaluation of the probability of failure ... shown to be very efficient as the probability of failure obtained with ... small number of calls to the performance function. Several examples from literature are performed...
  • pyMEF

  • Referenced in 2 articles [sw07455]
  • tool for modeling various and complex probability density functions. They can be estimated by various...
  • acss

  • Referenced in 7 articles [sw10997]
  • provides functions accessing the data such as prob_random returning the posterior probability that ... addition, two traditional (but problematic) measures of complexity are also provided: entropy and change complexity...
  • Rumba20

  • Referenced in 15 articles [sw07099]
  • second part, we analyze the compression function Rumba, built as the XOR of four Salsa20 ... version, and exploit a high-probability differential to reduce complexity of collision search from...
  • CubeHash

  • Referenced in 13 articles [sw07100]
  • trails that lead to lower estimated attack complexities when used within the framework introduced ... combination with the condition function concept, such trails lead to much faster collision attacks ... second method randomizes the search for highly probable linear differential trails and leads to significantly...
  • RooFit

  • Referenced in 4 articles [sw10588]
  • environment. Mathematical concepts such as variables, (probability density) functions and integrals are represented ... package provides a flexible framework for building complex fit models through classes that mimic math...
  • PITA

  • Referenced in 22 articles [sw06950]
  • need to combine the probabilities of explanations that may not be exclusive. As one alternative ... PRISM system reduces the complexity of query answering by restricting the form of programs ... transformation along with an API for library functions that interface with answer subsumption. We show...
  • MCDB

  • Referenced in 1 article [sw12046]
  • tuples with attribute-level or tuple-level probability values, which are loaded into the database ... functions,” which are used to pseudorandomly generate realized values for uncertain attributes. VG functions ... probabilities, and by estimating, rather than exactly computing, the probability distribution over possible query answers ... probability distributions over discrete or continuous attributes, arbitrarily complex SQL queries, and arbitrary functionals...
  • NORMT3

  • Referenced in 1 article [sw33504]
  • package NORMT3: Evaluates complex erf, erfc, Faddeeva, and density of sum of Gaussian ... Student’s t. Evaluates the probability density function of the sum of the Gaussian ... density function. Also evaluates the erf, and erfc functions on complex-valued arguments. Thanks...
  • CplexA

  • Referenced in 3 articles [sw32180]
  • Mathematica package that uses functional programming to efficiently compute probabilities and average properties over such ... particularly suited to study gene expression at complex promoters controlled by multiple, local and distal...
  • HistFactory

  • Referenced in 3 articles [sw34070]
  • tool to build parametrized probability density functions (pdfs) in the RooFit/RooStats framework based based ... tool takes a modular approach to build complex pdfs from more primative conceptual building blocks...
  • TWINLAW

  • Referenced in 5 articles [sw35042]
  • dislocation slip when loaded mechanically. The complexity of the plastic response and the limited extent ... throughout deformation using a weighted discrete probability density function of c-axis orientations. The orientation ... assess the stability of the model for complex loading paths, for which no experimental results...
  • cosmoabc

  • Referenced in 6 articles [sw20219]
  • inference for complex physical systems in cases where the true likelihood function is unknown, unavailable ... allowing to incorporate arbitrary distance and prior functions. As an example of practical application ... used to estimate posterior probability distributions over cosmological parameters based on measurements of galaxy clusters...
  • IPP Toolbox

  • Referenced in 3 articles [sw09589]
  • probabilities. It runs under MATLAB 6.5 and higher. The IPP Toolbox provides all necessary functions ... functions. Methods for the quantification of uncertainty by imprecise distributions and the propagation through complex...
  • DREAM

  • Referenced in 9 articles [sw24746]
  • proportional to the product of the prior probability, p(H) of this hypothesis ... inference using the data Y ¿ . Unfortunately, for complex system models the posterior distribution is often ... parameter spaces, dynamic simulation models, formal/informal likelihood functions (GLUE), diagnostic model evaluation, data assimilation, Bayesian...
  • ExGUtils

  • Referenced in 2 articles [sw20872]
  • statistical analysis with the ex-gaussian probability density. The study of reaction times and their ... good fit to multiple empirical data. The complexity of this distribution makes ... apply the ExGUtils package, a set of functions and numerical tools, programmed for python, developed ... analysis of data involving the ex-Gaussian probability density. In order to validate the package...
  • svylogitgof

  • Referenced in 5 articles [sw06486]
  • purpose of the model is to estimate probabilities of event occurrences. While various goodness ... regression models when data are collected using complex sampling designs are proposed. Properties ... goodness-of-fit tests. A Stata ado function svylogitgof for estimating the $F$-adjusted mean...
  • CMPLX

  • Referenced in 1 article [sw30515]
  • Kahan, Branch Cuts for Complex Elementary Functions, or Much Ado About Nothing’s Sign ... most autoritative information on the mathematics is probably DLMF, speficically Sections 4.2(i) The Logarithm...