Pages that link to "Item:Q1081991"
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The following pages link to Stochastic complexity and modeling (Q1081991):
Displaying 47 items.
- Price probabilities: a class of Bayesian and non-Bayesian prediction rules (Q2059056) (← links)
- Fisher information framework for time series modeling (Q2145602) (← links)
- Bayesian estimation of multidimensional latent variables and its asymptotic accuracy (Q2181075) (← links)
- Model selection in linear mixed-effect models (Q2234730) (← links)
- Model selection by sequentially normalized least squares (Q2267585) (← links)
- On the computation of entropy prior complexity and marginal prior distribution for the Bernoulli model (Q2320933) (← links)
- Regressor and structure selection in NARX models using a structured ANOVA approach (Q2440609) (← links)
- Stochastic complexity for mixture of exponential families in generalized variational Bayes (Q2465031) (← links)
- Some Bayesian predictive approaches to model selection (Q2485549) (← links)
- Selecting mixed-effects models based on a generalized information criterion (Q2489780) (← links)
- Accumulative prediction error and the selection of time series models (Q2507906) (← links)
- Model selection by normalized maximum likelihood (Q2507907) (← links)
- A scoring criterion for learning chain graphs (Q2508629) (← links)
- Model selection in the presence of incidental parameters (Q2516318) (← links)
- Algebraic analysis for nonidentifiable learning machines (Q2731456) (← links)
- Predictability, complexity, and learning (Q2784814) (← links)
- A Bayesian Learning Coefficient of Generalization Error and Vandermonde Matrix-Type Singularities (Q2786256) (← links)
- Softening the complexity of entropic motion on curved statistical manifolds (Q2884789) (← links)
- Learning coefficient of generalization error in Bayesian estimation and Vandermonde matrix-type singularity (Q2919415) (← links)
- Statistical Inference, Occam's Razor, and Statistical Mechanics on the Space of Probability Distributions (Q3125239) (← links)
- On the information-based measure of covariance complexity and its application to the evaluation of multivariate linear models (Q3135357) (← links)
- On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario (Q3149529) (← links)
- Relations between information criteria for model-structure selection Part 1. The role of bayesian model order estimation (Q3198704) (← links)
- A TREATMENT OF USEFULNESS OF KEYWORDS IN FUZZY REQUESTS FOR AN INFORMATION RETRIEVAL SYSTEM WITH BAYESIAN NETWORKS (Q3427840) (← links)
- Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance (Q3440433) (← links)
- Discrete variable stochastic approximation procedures and recursive autoregressive model identification (Q3486692) (← links)
- MDL Mean Function Selection in Semiparametric Kernel Regression Models (Q3526078) (← links)
- An Information-Geometric Approach to Learning Bayesian Network Topologies from Data (Q3562271) (← links)
- Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies (Q3646118) (← links)
- THE ESTIMATION OF THE ORDER OF AN AUTOREGRESSION USING RECURSIVE RESIDUALS AND CROSS-VALIDATION (Q4203663) (← links)
- A test for randomness based on a complexity measure (Q4275809) (← links)
- Entropy estimation of symbol sequences (Q4526375) (← links)
- Counting probability distributions: Differential geometry and model selection (Q4528251) (← links)
- PREDICTION/ESTIMATION WITH SIMPLE LINEAR MODELS: IS IT REALLY THAT SIMPLE? (Q4562554) (← links)
- Information geometric methods for complexity (Q4565931) (← links)
- OPTIMAL NONLINEAR MODELS FROM EMPIRICAL TIME SERIES: AN APPLICATION TO CLIMATE (Q4655673) (← links)
- (Q4694334) (← links)
- Data driven versions of pearson's chisquare test for uniformity (Q4869590) (← links)
- Discussion of the Papers by Rissanen and by Wallace and Dowe (Q4933951) (← links)
- The Whole and the Parts: The Minimum Description Length Principle and the A-Contrario Framework (Q5043732) (← links)
- Negative Moment Bounds for Stochastic Regression Models with Deterministic Trends and Their Applications to Prediction Problems (Q5072146) (← links)
- Stochastic complexity and the mdl principle (Q5750090) (← links)
- Explanatory and creative alternatives to the MDL principle (Q5938216) (← links)
- Determining the number of components in mixtures of linear models. (Q5958421) (← links)
- Fast and fully-automated histograms for large-scale data sets (Q6167056) (← links)
- Information criteria for model selection (Q6602021) (← links)
- Complexity of quantum-mechanical evolutions from probability amplitudes (Q6670830) (← links)