Pages that link to "Item:Q4419458"
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The following pages link to Model Selection and the Principle of Minimum Description Length (Q4419458):
Displaying 34 items.
- Model selection: beyond the Bayesian/frequentist divide (Q2896019) (← links)
- Selecting nonlinear time series models using information criteria (Q3077654) (← links)
- Mixtures of<i><i>g</i></i>-Priors in Generalized Linear Models (Q3121572) (← links)
- Kolmogorov Complexity and Model Selection (Q3392938) (← links)
- MDL Mean Function Selection in Semiparametric Kernel Regression Models (Q3526078) (← links)
- Break Detection for a Class of Nonlinear Time Series Models (Q3552855) (← links)
- An Information-Geometric Approach to Learning Bayesian Network Topologies from Data (Q3562271) (← links)
- Improved model identification for non-linear systems using a random subsampling and multifold modelling (RSMM) approach (Q3603725) (← links)
- The parsimony principle for a class of model structures (Q3676032) (← links)
- Minimum complexity density estimation (Q3981153) (← links)
- Nonstationary regression models with a lagged dependent variable (Q4337224) (← links)
- Choosing a Model Selection Strategy (Q4455938) (← links)
- Catching up Faster by Switching Sooner: A Predictive Approach to Adaptive Estimation with an Application to the AIC–BIC Dilemma (Q4632670) (← links)
- A Note on the Applied Use of MDL Approximations (Q4823699) (← links)
- APPLIED REGRESSION ANALYSIS BIBLIOGRAPHY UPDATE 2000–2001 (Q4828900) (← links)
- An Introduction to Coding Theory and the Two-Part Minimum Description Length Principle (Q4831995) (← links)
- Segmented Model Selection in Quantile Regression Using the Minimum Description Length Principle (Q4975574) (← links)
- A new approach of subgroup identification for high-dimensional longitudinal data (Q5036847) (← links)
- Conditional sparse boosting for high-dimensional instrumental variable estimation (Q5040523) (← links)
- Prequential omnibus goodness-of-fit tests for stochastic processes: A numerical study (Q5084739) (← links)
- Distance-based approach in univariate longitudinal data analysis (Q5128948) (← links)
- Structural changes estimation for strongly dependent processes (Q5218917) (← links)
- General Sparse Boosting: Improving Feature Selection of L<sub>2</sub>Boosting by Correlation-Based Penalty Family (Q5265816) (← links)
- (Q5283469) (← links)
- On the selection of predictors by using greedy algorithms and information theoretic criteria (Q6075184) (← links)
- Unsupervised discretization by two-dimensional MDL-based histogram (Q6134323) (← links)
- SMLSOM: the shrinking maximum likelihood self-organizing map (Q6168922) (← links)
- Bayesian synergistic metamodeling (BSM) for physical information infused data-driven metamodeling (Q6185242) (← links)
- Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy (Q6185714) (← links)
- Numerical characterization of support recovery in sparse regression with correlated design (Q6558520) (← links)
- Bayesian hypothesis tests with diffuse priors: can we have our cake and eat it too? (Q6581426) (← links)
- A data-driven approach for optimal operational and financial commodity hedging (Q6586281) (← links)
- Information criteria for model selection (Q6602021) (← links)
- A Composite Likelihood-Based Approach for Change-Point Detection in Spatio-Temporal Processes (Q6651415) (← links)
