Pages that link to "Item:Q1977904"

The following pages link to An introduction to model selection (Q1977904):

Displaying 36 items.

• Pattern recognition and subjective belief learning in a repeated constant-sum game (Q423770) (← links)
• Sequence alignment with arbitrary steps and further generalizations, with applications to alignments in linguistics (Q497193) (← links)
• A jackknife type approach to statistical model selection (Q643408) (← links)
• Seven things to remember about hidden Markov models: A tutorial on Markovian models for time series (Q654387) (← links)
• A model of working memory capacity in the radial-arm maze task (Q734678) (← links)
• Comparison of the performance of multi-layer perceptron and linear regression for epidemiological data (Q956790) (← links)
• Measurement by subjective estimation: Testing for separable representations (Q1023423) (← links)
• Slice-Gibbs sampling algorithm for estimating the parameters of a multilevel item response model (Q1645032) (← links)
• Selecting the number of states in hidden Markov models: pragmatic solutions illustrated using animal movement (Q1680348) (← links)
• On the use of nonparametric regression in assessing parametric regression models (Q1868099) (← links)
• Quasi Akaike and quasi Schwarz criteria for model selection: a surprising consistency result (Q1934049) (← links)
• Cross-validation methods (Q1977907) (← links)
• Statistical tests for comparing possibly misspecified and nonnested models (Q1977909) (← links)
• Key concepts in model selection: Performance and generalizability (Q1977913) (← links)
• Bayesian model selection in the \(\mathcal{M}\)-open setting -- approximate posterior inference and subsampling for efficient large-scale leave-one-out cross-validation via the difference estimator (Q1981162) (← links)
• Decision-based model selection (Q2029390) (← links)
• Testing the allometric scaling laws (Q2187622) (← links)
• On the asymptotic distribution of Pearson's \(X^2\) in cross-validation samples (Q2260980) (← links)
• Evaluating predictors of dispersion: a comparison of dominance analysis and Bayesian model averaging (Q2348196) (← links)
• Statistics between inductive logic and empirical science (Q2390657) (← links)
• Likelihood-based discrimination between separate scale and regression models (Q2499096) (← links)
• Model selection by normalized maximum likelihood (Q2507907) (← links)
• Goodness-of-fit and confidence intervals of approximate models (Q2507910) (← links)
• Bayes factors: Prior sensitivity and model generalizability (Q2519503) (← links)
• Model selection: beyond the Bayesian/frequentist divide (Q2896019) (← links)
• Impact of Data Assimilation on Cost-Accuracy Tradeoff in Multifidelity Models (Q3452531) (← links)
• Model Selection: An Integral Part of Inference (Q4349974) (← links)
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• Rank-based model selection for multiple ions quantum tomography (Q5137763) (← links)
• A new mixture cure model under competing risks to score online consumer loans (Q5234356) (← links)
• Model Selection and Shrinkage: An Overview (Q5864503) (← links)
• A Time-Series Model for Underdispersed or Overdispersed Counts (Q5869300) (← links)
• Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Application to Disclosure Risk Estimation (Q6067164) (← links)
• Multivariate hidden semi-Markov models for longitudinal data: a dynamic regression modeling (Q6125003) (← links)
• Information criteria for model selection (Q6602021) (← links)