Pages that link to "Item:Q3332079"

The following pages link to On the existence of maximum likelihood estimates in logistic regression models (Q3332079):

Displaying 50 items.

• Default priors for the intercept parameter in logistic regressions (Q1727911) (← links)
• On data depth and distribution-free discriminant analysis using separating surfaces (Q1767479) (← links)
• Robust adaptive estimators for binary regression models (Q1772675) (← links)
• Multiple imputation for multilevel data with continuous and binary variables (Q1799343) (← links)
• Greedy active learning algorithm for logistic regression models (Q1799821) (← links)
• Comparison between various regression depth methods and the support vector machine to approximate the minimum number of misclassifications (Q1855638) (← links)
• Rate of convergence of the probability of non-existence of the MLE's in simple logistic regression (Q1856554) (← links)
• The breakdown behavior of the maximum likelihood estimator in the logistic regression model. (Q1871350) (← links)
• Comparing two samples by penalized logistic regression (Q1951763) (← links)
• A generic algorithm for reducing bias in parametric estimation (Q1952093) (← links)
• Spatial logistic regression and change-of-support in Poisson point processes (Q1952095) (← links)
• The generalized Lasso problem and uniqueness (Q2002568) (← links)
• Analysis of ``learn-as-you-go'' (LAGO) studies (Q2039787) (← links)
• Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist (Q2044372) (← links)
• The role of conditional likelihoods in latent variable modeling (Q2088910) (← links)
• Robust logistic zero-sum regression for microbiome compositional data (Q2089290) (← links)
• Strictly log-concave probability distributions in discrete response models (Q2105354) (← links)
• A two-stage model for high-risk prediction in insurance ratemaking: asymptotics and inference (Q2138633) (← links)
• ConNEcT: a novel network approach for investigating the co-occurrence of binary psychopathological symptoms over time (Q2141640) (← links)
• A precise high-dimensional asymptotic theory for boosting and minimum-\(\ell_1\)-norm interpolated classifiers (Q2148995) (← links)
• The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression (Q2176606) (← links)
• Integrative survival analysis with uncertain event times in application to a suicide risk study (Q2179942) (← links)
• The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models (Q2209841) (← links)
• On the existence of posterior mean for Bayesian logistic regression (Q2239251) (← links)
• Bayesian networks with a logistic regression model for the conditional probabilities (Q2270420) (← links)
• Modified versions of the Bayesian information criterion for sparse generalized linear models (Q2275644) (← links)
• Propensity score estimation using classification and regression trees in the presence of missing covariate data (Q2325020) (← links)
• Rating scales as predictors -- the old question of scale level and some answers (Q2339059) (← links)
• Asymptotic properties of a double penalized maximum likelihood estimator in logistic regres\-sion (Q2373678) (← links)
• Point separation in logistic regression on Hilbert space-valued variables (Q2407497) (← links)
• Logistic biplot for nominal data (Q2418308) (← links)
• Existence of MLE and posteriors for a recognition-memory model (Q2435771) (← links)
• An active set algorithm to estimate parameters in generalized linear models with ordered predictors (Q2445594) (← links)
• A comparison of optimization solvers for log binomial regression including conic programming (Q2666995) (← links)
• Improving predictive accuracy of logistic regression model using ranked set samples (Q2965556) (← links)
• Mixtures of<i><i>g</i></i>-Priors in Generalized Linear Models (Q3121572) (← links)
• The robustness of the logistic risk function (Q3471436) (← links)
• On the small sample properties of norm-restricted maximum likelihood estimators for logistic regression models (Q3473126) (← links)
• Sequential Designs for Binary Data with the Purpose to Maximize the Probability of Response (Q3527755) (← links)
• GENERAL TRIMMED ESTIMATION: ROBUST APPROACH TO NONLINEAR AND LIMITED DEPENDENT VARIABLE MODELS (Q3551007) (← links)
• Nonconvergence in Logistic and Poisson Models for Neural Spiking (Q3564829) (← links)
• A Note on Local Likelihood Regression for Binary Response Data (Q3625365) (← links)
• Mixture Generalized Linear Models for Multiple Interval Mapping of Quantitative Trait Loci in Experimental Crosses (Q3636992) (← links)
• (Q3740833) (← links)
• Discrimination and classification: Overview (Q3746701) (← links)
• A note on A. Albert and J. A. Anderson's conditions for the existence of maximum likelihood estimates in logistic regression models (Q3802400) (← links)
• Multiple group logistic discrimination (Q3805669) (← links)
• On existence and uniqueness of a vector minimizing a convex function (Q3815881) (← links)
• Adding functions to ensure regression converges (Q4226923) (← links)
• Collinearity in generalized linear regression (Q4275726) (← links)