8 problems
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Prasad–Takloo-Bighash epsilon dichotomy for twisted linear models
Prasad–Takloo-Bighash conjecture. If is -distinguished, then the Langlands parameter of takes values in with simi…
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Impossibility of estimating the explained variance without sparsity constraints
Let be the differential regression parameter and let be the covariance matrix. Define … The authors also consider…
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The lower-bound conjecture for the MOCE expanded-model selection rate
MOCE rate lower-bound conjecture. The rate
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A general posterior consistency theorem under the global null for linear models
General consistency theorem conjecture. A general consistency theorem under the global null for linear models should hold, and proving it may require a general version of Doob's th…
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Single-path-faithfulness conjecture for linear models
Single-path-faithfulness conjecture. The single-path-faithfulness assumption is satisfied for all linear models.
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Conjecture on variance estimation in dense high-dimensional linear models
Suppose that the observed data follow the Gaussian linear model … where is an unknown, potentially dense signal, the rows of are independent…
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Effective signal-to-noise ratio estimation in high-dimensional linear models
Effective signal-to-noise ratio estimation conjecture. It may be possible to derive effective estimators of when , provided .
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Minimaxity conjecture for the generalized Bayes estimator under scale mixtures of normals
Let and denote the generalized Bayes estimators corresponding to and , respectively, and let be the generalized Bayes estimator ind…