18 problems
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Asymptotic quasi-Bayesian learning conjecture for high-dimensional feature models
Asymptotic quasi-Bayesian learning conjecture. Results analogous to these posterior-concentration and coverage conditions can be established in the quasi-Bayesian context of the ar…
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Weak convergence of the rearranged quantile martingale posterior
Let denote the increasing rearrangement of the quantile martingale posterior draw , and let denote the corresponding centered and scaled proces…
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The D3 asymptotic-behavior conjecture for clustered Archimax copulas
Let be a clustered Archimax copula, and let and be the classes of clusters specified by the extended max-dom…
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Ill-conditioning conjecture for empirical Bayes hyper-parameter convergence
Let be the regression matrix, let be the empirical Bayes hyper-parameter estimator, and let denote its limit…
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Fixed-design validity conjecture for pairwise rank likelihood theory
Fixed-design validity conjecture. For the fixed design, these theoretical results are still valid under appropriate regularity conditions.
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Conjecture on limiting distributions under misspecified exposure mappings
Limiting-distribution conjecture. The limiting distribution of the point estimator under a misspecified exposure mapping can be characterized under weaker conditions than those cur…
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Conjecture on empirical-distribution pretransformation in heteroscedastic transformation models
Consider the heteroscedastic transformation model discussed in the paper, and let a pretransformation of the response by its empirical distribution function be appl…
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Extension of convergence results to higher-dimensional covariates
Let denote the dimension of the covariate vector, and consider the convergence results of the lemmas described in the surrounding discussion, which currently requi…
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Conjecture on asymptotic normality of eigenvalue estimates under the COSIE model
Eigenvalue asymptotic-normality conjecture. The eigenvalues of should be asymptotically normally distributed about the eigenvalues of…
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Extension of the asymptotic normality theorem to general distributions
Let be a random variable, let take values in a compact set , and let be an interior point of a bounded set…
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Tan and Zhu's optimality conjecture for the divergent-covariate rate
Tan and Zhu's conjecture. The leading term in the admissible divergent-covariate rate would be close to optimal.
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Conjecture on the sharpness of the derivative convergence rate
Suppose the value-function estimator and the population value function are sufficiently smooth, and let be the smoothing parameter. The derived rate for…
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Doss's localization conjecture for the concave-regression likelihood ratio statistic
Doss's localization conjecture. The quantity is asymptotically negligible for sufficiently large and . This is intended to justify localization of the likelihood r…
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Equivalence of parametrized and Lagrange-penalty score estimators
Equivalence conjecture. Both estimators have the same asymptotic properties.
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Non-vanishing conjecture for the normalized fluctuation sum
Non-vanishing conjecture. For and , generally does not converge in probability to zero.
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Conjecture that higher-order BGMM and GMM-estimator posterior terms do not match
Higher-order mismatch conjecture. In general, the higher-order terms of and do not match each other.
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Conjecture that the BGMM limited information likelihood approximates the GMM estimator density
LIL approximation conjecture. The LIL should approximate the density of .
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Asymptotic equivalence conjecture for the spatial covariance operator estimator
Asymptotic equivalence conjecture. If the components in have a symmetric distribution, then the asymptotic behaviour of…