Pages that link to "Item:Q1050717"
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The following pages link to A universal prior for integers and estimation by minimum description length (Q1050717):
Displaying 50 items.
- Improved inference on capture recapture models with behavioural effects (Q257428) (← links)
- Reference Bayesian methods for recapture models with heterogeneity (Q619169) (← links)
- Segmentation of the mean of heteroscedastic data via cross-validation (Q637994) (← links)
- Clustgrams: an extension to histogram densities based on the minimum description length principle (Q692998) (← links)
- Semi-supervised learning in knowledge discovery (Q703369) (← links)
- Action categorization with modified hidden conditional random field (Q733161) (← links)
- Unsupervised interaction-preserving discretization of multivariate data (Q736501) (← links)
- Maximum likelihood estimation and MUSIC in array localization signal processing: A review (Q811049) (← links)
- Mint: MDL-based approach for mining interesting numerical pattern sets (Q832644) (← links)
- Maximum likelihood robust regression by mixture models (Q851811) (← links)
- A graphical approach to relatedness inference (Q885390) (← links)
- Harold Jeffreys's \textit{Theory of probability} revisited (Q903267) (← links)
- Minimum message length encoding and the comparison of macromolecules (Q912791) (← links)
- Extimation and structure determination of multivariate input systems (Q914310) (← links)
- Nonparametric Bayesian image segmentation (Q942836) (← links)
- A survey of cross-validation procedures for model selection (Q975579) (← links)
- False alarm rate estimation for information-theoretic-based source enumeration methods (Q983786) (← links)
- Learning probabilistic logic models from probabilistic examples (Q1009281) (← links)
- Computational Bayesian inference for estimating the size of a finite population (Q1019923) (← links)
- Gaussian model selection with an unknown variance (Q1020973) (← links)
- A note on some model selection criteria (Q1084792) (← links)
- On estimating the order of an ARMA process (Q1097231) (← links)
- Inferring decision trees using the minimum description length principle (Q1115845) (← links)
- A unified framework for connectionist systems (Q1117857) (← links)
- Averaging over decision trees (Q1126405) (← links)
- Inductive reasoning and Kolmogorov complexity (Q1190991) (← links)
- Data compression and histograms (Q1203347) (← links)
- On ARX(\(\infty)\) approximation (Q1263912) (← links)
- A game of prediction with expert advice (Q1271549) (← links)
- Failure-time prediction (Q1298697) (← links)
- Stochastic complexity and model selection from incomplete data (Q1298904) (← links)
- On model selection via stochastic complexity in robust linear regression (Q1299010) (← links)
- Predictive stochastic complexity and model estimation for finite-state processes (Q1330228) (← links)
- Search for the best decision rules with the help of a probabilistic estimate (Q1354081) (← links)
- Learning about the parameter of the Bernoulli model (Q1370861) (← links)
- On-line maximum likelihood prediction with respect to general loss functions (Q1370862) (← links)
- Toward a computable approach to the efficient market hypothesis: An application of genetic programming (Q1391665) (← links)
- Maximal meaningful events and applications to image analysis (Q1430912) (← links)
- Integrated likelihood methods for eliminating nuisance parameters. (With comments and a rejoinder). (Q1431155) (← links)
- Detecting and evaluating intrinsic nonlinearity present in the mutual dependence between two variables (Q1590011) (← links)
- Obituary: Ray Solomonoff, founding father of algorithmic information theory (Q1662560) (← links)
- Hybrid learning of Bayesian multinets for binary classification (Q1676890) (← links)
- Universal probability-free prediction (Q1680844) (← links)
- Hierarchical two-part MDL code for multinomial distributions (Q1726276) (← links)
- Algorithms for drug sensitivity prediction (Q1736854) (← links)
- Statistical mechanics unifies different ecological patterns (Q1788661) (← links)
- Minimum message length inference of the Poisson and geometric models using heavy-tailed prior distributions (Q1799691) (← links)
- Spatial sampling design based on stochastic complexity. (Q1808839) (← links)
- Junction detection and grouping with probabilistic edge models and Bayesian \(A^{\ast}\) (Q1860133) (← links)
- Twenty-one ML estimators for model selection (Q1902566) (← links)
