The Efficiency of X when Log X is Homoscedastic: A M.S. Thesis Research Problem [PDF]
, 1972 3 pages, 1 article*The Efficiency of X when Log X is Homoscedastic: A M.S. Thesis Research Problem* (Robson, D.
Robson, D. S. +3 more
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Bayesian losses for homoscedastic aleatoric uncertainty modeling in pollen image detection [PDF]
, 2021 The paper investigates the homoscedastic aleatoric uncertainty modeling for the detection of pollen in images. The new uncertainty modeling loss functions are presented, which are based on the focal and smooth L1 losses.
Natalia E. Khanzhina
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Bias and RMSE (in parentheses) of various estimators in the homoscedastic case.
, 2021 Bias and RMSE (in parentheses) of various estimators in the homoscedastic case.
Libin Jin (11836385) +1 more
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A criterion for estimating the largest linear homoscedastic region in Gaussian data
, 2023 A criterion is constructed to identify the largest homoscedastic region in a Gaussian dataset. This can be reduced to a one-sided non-parametric break detection, knowing that up to a certain index the output is governed by a linear homoscedastic model ...
Bardet, Jean-Marc
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Multifrequency observations of Blazars
, 1987 This paper reports the results of a programme of multifrequency observations of a sample of Blazars concentrating particularly on the millimetre through infrared region.
E. I. Robson +5 more
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Moment Identifiability of Homoscedastic Gaussian Mixtures [PDF]
, 2020 We consider the problem of identifying a mixture of Gaussian distributions with the same unknown covariance matrix by their sequence of moments up to certain order. Our approach rests on studying the moment varieties obtained by taking special secants to
Améndola, Carlos +5 more
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Power for homoscedastic normally distributed data.
, 2014 Power for homoscedastic normally distributed data.
Shyamal D. Peddada (62417) +2 more
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Type I errors for homoscedastic normally distributed data.
, 2014 Type I errors for homoscedastic normally distributed data.
Shyamal D. Peddada (62417) +2 more
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Identifiability of Homoscedastic Linear Structural Equation Models using Algebraic Matroids
, 2023 We consider structural equation models (SEMs), in which every variable is a function of a subset of the other variables and a stochastic error. Each such SEM is naturally associated with a directed graph describing the relationships between variables ...
Drton, Mathias +2 more
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Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER‐TBI Observational Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Reserve refers to the brain's ability to maintain function after an injury and strongly relates to traumatic brain injury (TBI) outcomes. This study examined (1) whether associations between pre‐injury reserve proxies and outcomes differed across injury severity categories, and (2) whether the impact of injury severity varied across ...
Natascha Ekdahl +6 more
wiley +1 more source