Proposes score-test-based J and MJ statistics for non-nested cure-fraction survival models that reduce to a Vuong-like form for two models while extending to M models and providing a model-selection criterion.
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2026 3verdicts
UNVERDICTED 3representative citing papers
New discrete-time approximations to SG(L)D enable accurate non-asymptotic predictions of covariance and integrated autocorrelation time for practical tuning in large-batch or misspecified regimes.
Review and simulation comparison of more than 40 threshold selection procedures for univariate extreme value analysis, with application to daily rainfall data.
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J- and MJ-Type Tests for Non-Nested Parametric Survival Models with a Cure Fraction: A Score Test Approach
Proposes score-test-based J and MJ statistics for non-nested cure-fraction survival models that reduce to a Vuong-like form for two models while extending to M models and providing a model-selection criterion.
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Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo
New discrete-time approximations to SG(L)D enable accurate non-asymptotic predictions of covariance and integrated autocorrelation time for practical tuning in large-batch or misspecified regimes.
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Choosing the threshold in extreme value analysis
Review and simulation comparison of more than 40 threshold selection procedures for univariate extreme value analysis, with application to daily rainfall data.