Results 51 to 60 of about 129,468 (185)
Convergence rates for Bayesian density estimation of infinite-dimensional exponential families
We study the rate of convergence of posterior distributions in density estimation problems for log-densities in periodic Sobolev classes characterized by a smoothness parameter p.
Scricciolo, Catia
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Efficient Statistics, in High Dimensions, from Truncated Samples [PDF]
Appeared at 59th Annual IEEE Symposium on Foundations of Computer Science (FOCS ...
Daskalakis, Constantinos +3 more
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A Note on Truncation and Sufficient Statistics
Generalizing earlier observations by Fisher and Hotelling, Tukey [1] showed that if a family of distributions admits a set of sufficient statistics, then the family obtained by truncation to a fixed set, or by a fixed selection, also admits the same set of sufficient statistics (this wording is Tukey's; we give a precise mathematical statement later ...
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An invariance principle for progressively truncated likelihood ratio statistics
In the context of time-sequential tests based on likelihood ratio statistics, weak convergence (in the Skorokhod as well as the sup-norm metric) of progressively truncated likelihood ratio statistics (to appropriate Wiener processes) is established through the construction of a continuous time-parameter martingale process. The case of local (contiguous)
Sen, P.K., Tsong, Y.
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Background Bias has been reported in genetic or genomic evaluations of several species. Common biases are systematic differences between averages of estimated and true breeding values, and their over- or under-dispersion.
Fernando L. Macedo +5 more
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In risk analysis, a global fit that appropriately captures the body and the tail of the distribution of losses is essential. Modelling the whole range of the losses using a standard distribution is usually very hard and often impossible due to the ...
Antonio, Katrien +3 more
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Multivariate statistics are widely and routinely used in the field of hydrogeochemistry. Trace elements, for which numerous samples show concentrations below the detection limit (censored data from a truncated dataset), are removed from the dataset in ...
Julien Walter +3 more
doaj +1 more source
Understanding heavy tails in a bounded world or, is a truncated heavy tail heavy or not? [PDF]
We address the important question of the extent to which random variables and vectors with truncated power tails retain the characteristic features of random variables and vectors with power tails. We define two truncation regimes, soft truncation regime
Chakrabarty, Arijit +1 more
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Private Statistical Estimation via Truncation
to appear at NeurIPS ...
Zampetakis, Manolis, Zhou, Felix
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A Nonequilibrium Statistical Model of Spectrally Truncated Burgers‐Hopf Dynamics [PDF]
Exact spectral truncations of the unforced, inviscid Burgers‐Hopf equation are Hamiltonian systems with many degrees of freedom that exhibit intrinsic stochasticity and coherent scaling behavior. For this reason recent studies have employed these systems as prototypes to test stochastic mode reduction strategies.
Kleeman, Richard, Turkington, Bruce E.
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