Mathematics Subject Classification. Primary 62F10; secondary 62J12, 62F25
This paper revisits the classical inference results for profile quasi maximum likelihood estimators (profile MLE) in the semiparametric estimation problem.
Vladimir Spokoiny, Andreas Andresen
core
Epstein-Barr Virus-positive Intestinal Diffuse Large B-cell Lymphoma in a Japanese Patient with Celiac Disease: First Reported Case and a Literature Review. [PDF]
Ishibashi H +16 more
europepmc +1 more source
Modified maximum likelihood estimator under the Jones and Faddy's skew t-error distribution for censored regression model. [PDF]
Acitas S +3 more
europepmc +1 more source
High throughput identification of human monoclonal antibodies and heavy-chain-only antibodies to treat snakebite. [PDF]
Slagboom J +10 more
europepmc +1 more source
Minimax Rules Under Zero-One Loss for a Restricted Location Parameter
Minimax Rules Under Zero-One Loss In this paper we study the existence, structure and computation of minimax and near-minimax rules under zero-one loss for a restricted location parameter of an absolutely continuous distribution.
Gerda Kamberova +4 more
core
Inference on Nadarajah-Haghighi distribution with constant stress partially accelerated life tests under progressive type-II censoring. [PDF]
Dey S, Wang L, Nassar M.
europepmc +1 more source
Representation of Gibbs fields with Synchronous Random Fields.
We address the issue of the representation of Gibbs random fields over some configuration set by means of synchronous random fields, which lend themselves more efficiently to sampling on parallel devices.
Laurent Younes
core
A new linearized ridge Poisson estimator in the presence of multicollinearity. [PDF]
Jadhav NH.
europepmc +1 more source
Another interpretation of the EM algorithm for mixture distributions
The EM algorithm for mixture problems can be interpreted as a method of coordinate descent on a particular objective function. This view of the iteration partially illuminates the relationship of EM to certain clustering techniques and explains global ...
Hathaway, Richard J.
core
Suppose that a random sample of size ni is drawn from a gamma distribution with known shape parameter νi> 0 and unknown scale parameter βi> 0, i = 1,2, satisfying 0 < β1 ≤ β2.
N. Nematollahi, Z. Meghnatisi
core

