scientific article
From MaRDI portal
Publication:3425126
zbMath1156.62005MaRDI QIDQ3425126
Publication date: 5 March 2007
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
entropyKolmogorov complexitystructure functionstatistical modelingstochastic complexityShannon-Wiener informationminimuum description length principleTunstall's algorithm
Research exposition (monographs, survey articles) pertaining to statistics (62-02) Research exposition (monographs, survey articles) pertaining to information and communication theory (94-02) Measures of information, entropy (94A17) Statistical aspects of information-theoretic topics (62B10)
Related Items (50)
Description length and dimensionality reduction in functional data analysis ⋮ Spectral entropy, empirical entropy and empirical exergy for deterministic boundary-layer structures ⋮ Probability, information and statistical physics ⋮ Bayesian inference of nonlinear unsteady aerodynamics from aeroelastic limit cycle oscillations ⋮ Detecting abrupt changes in the spectra of high-energy astrophysical sources ⋮ Least informative distributions in maximum \(q\)-log-likelihood estimation ⋮ Induction: a logical analysis ⋮ Confidence intervals, significance values, maximum likelihood estimates, etc. sharpened into Occam’s razors ⋮ Geometry-aware principal component analysis for symmetric positive definite matrices ⋮ Full-Span Log-Linear Model and Fast Learning Algorithm ⋮ Bayesian model selection for nonlinear aeroelastic systems using wind-tunnel data ⋮ On model selection, Bayesian networks, and the Fisher information integral ⋮ An analysis of global warming in the Alpine region based on nonlinear nonstationary time series models ⋮ On the selection of predictors by using greedy algorithms and information theoretic criteria ⋮ Summarizing categorical data by clustering attributes ⋮ From Gödel's incompleteness theorem to the completeness of bot beliefs (extended abstract) ⋮ Local bandwidth selection via second derivative segmentation ⋮ Spatial weights matrix selection and model averaging for spatial autoregressive models ⋮ Sequential network change detection with its applications to ad impact relation analysis ⋮ Game-theoretic probability combination with applications to resolving conflicts between statistical methods ⋮ On image segmentation using information theoretic criteria ⋮ Unnamed Item ⋮ Optimal Sampling of Parametric Families: Implications for Machine Learning ⋮ Methods for pattern selection, class-specific feature selection and classification for automated learning ⋮ Robust image segmentation via Bayesian type criterion ⋮ Bayesian modeling of inconsistent plastic response due to material variability ⋮ Machine Learning: Deepest Learning as Statistical Data Assimilation Problems ⋮ Clustgrams: an extension to histogram densities based on the minimum description length principle ⋮ Generalized threshold latent variable model ⋮ Unsupervised learning of compositional sparse code for natural image representation ⋮ Few Paths, Fewer Words: Model Selection With Automatic Structure Functions ⋮ Variable selection in linear regression: several approaches based on normalized maximum likelihood ⋮ Model selection by sequentially normalized least squares ⋮ An MDL approach to the climate segmentation problem ⋮ Multi-regime models for nonlinear nonstationary time series ⋮ Minimum message length inference of the Poisson and geometric models using heavy-tailed prior distributions ⋮ Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions ⋮ Learning Bayesian networks from incomplete data with the node-average likelihood ⋮ Bayesian model selection using automatic relevance determination for nonlinear dynamical systems ⋮ Riccati equation as topology-based model of computer worms and discrete SIR model with constant infectious period ⋮ Pseudo-likelihood, explanatory power, and Bayes's theorem [Comment on: ``A likelihood paradigm for clinical trials] ⋮ On the computation of entropy prior complexity and marginal prior distribution for the Bernoulli model ⋮ Minimum description length revisited ⋮ Zdzisław Pawlak, Databases and Rough Sets ⋮ Application of the bootstrap method for change points analysis in generalized linear models ⋮ Structural break estimation of noisy sinusoidal signals ⋮ AR order selection in the case when the model parameters are estimated by forgetting factor least-squares algorithms ⋮ Model selection in linear mixed models ⋮ Space-efficient representation of truncated suffix trees, with applications to Markov order estimation ⋮ Finite state incompressible infinite sequences
Uses Software
This page was built for publication: