Results 51 to 60 of about 129,468 (185)

Convergence rates for Bayesian density estimation of infinite-dimensional exponential families

open access: yes, 2006
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
core   +2 more sources

Efficient Statistics, in High Dimensions, from Truncated Samples [PDF]

open access: yes2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS), 2018
Appeared at 59th Annual IEEE Symposium on Foundations of Computer Science (FOCS ...
Daskalakis, Constantinos   +3 more
openaire   +3 more sources

A Note on Truncation and Sufficient Statistics

open access: yesThe Annals of Mathematical Statistics, 1957
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 ...
openaire   +3 more sources

An invariance principle for progressively truncated likelihood ratio statistics

open access: yesMetrika, 1981
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.
openaire   +2 more sources

Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups

open access: yesGenetics Selection Evolution, 2020
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
doaj   +1 more source

Modelling Censored Losses Using Splicing: a Global Fit Strategy With Mixed Erlang and Extreme Value Distributions

open access: yes, 2017
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
core   +1 more source

Subsampling of Regional-Scale Database for improving Multivariate Analysis Interpretation of Groundwater Chemical Evolution and Ion Sources

open access: yesGeosciences, 2019
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]

open access: yes, 2009
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
core   +1 more source

Private Statistical Estimation via Truncation

open access: yes
to appear at NeurIPS ...
Zampetakis, Manolis, Zhou, Felix
openaire   +2 more sources

A Nonequilibrium Statistical Model of Spectrally Truncated Burgers‐Hopf Dynamics [PDF]

open access: yesCommunications on Pure and Applied Mathematics, 2013
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.
openaire   +2 more sources

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