Results 91 to 100 of about 17,358,302 (310)

Some strong limit theorems for M-estimators [PDF]

open access: yes, 1994
Some laws of the iterated logarithm for empirical processes rescaled in the “time” parameter are presented. These laws of the iterated logarithm are applied to obtain strong limit theorems for M-estimators.
Arcones, Miguel A.
core   +1 more source

Hybrid Wavelet–Difference M-Estimation for Partially Linear Models With m-Dependent Errors

open access: yesJournal of Mathematics
In this paper, we employ difference-based M-estimation to estimate the parameters β in a partially linear model with m-dependent errors and establish the asymptotic normality of these estimators.
Yu Zhang, Zhiqi Chen
doaj   +1 more source

Robust Weighted Least Squares Method using different schemes of M-estimators (RWLSM), A comparative Study [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية
     In this research, it was reducing or excluding the effect of not satisfying the assumption of normal distribution of the data, due to the presence of types of outlying values in it when we wish to choose the best regression ...
Fatima M. Selevany, Bashar Al-Talib
doaj   +1 more source

Sparsistency of $\ell_1$-Regularized $M$-Estimators

open access: yes, 2014
We consider the model selection consistency or sparsistency of a broad set of $\ell_1$-regularized $M$-estimators for linear and non-linear statistical models in a unified fashion. For this purpose, we propose the local structured smoothness condition (LSSC) on the loss function.
Li Yen-Huan   +3 more
openaire   +4 more sources

Re‐Irradiation in Pediatric Diffuse Midline Glioma: A Multi‐Institutional Retrospective Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with recurrent diffuse midline gliomas (DMGs) have limited therapeutic options at recurrence. Re‐irradiation (RT2) may be used at progression, but with uncertainty about the benefit. Methods We conducted a multi‐institutional retrospective study of children aged < 18 with DMG treated at three centers (Toronto, Canada ...
Ajay Thomas Alex   +13 more
wiley   +1 more source

Association Between Dinutuximab Beta Exposure and Post‐End‐of‐Treatment Survival in Neuroblastoma: A Weighted Patient‐Level Analysis of Three Clinical Studies

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko   +19 more
wiley   +1 more source

Object-oriented Computation of Sandwich Estimators [PDF]

open access: yes
Sandwich covariance matrix estimators are a popular tool in applied regression modeling for performing inference that is robust to certain types of model misspecification.
Achim Zeileis
core   +1 more source

Using the sample maximum to estimate the parameters of the underlying distribution.

open access: yesPLoS ONE, 2019
We propose novel estimators for the parameters of an exponential distribution and a normal distribution when the only known information is a sample of sample maxima; i.e., the known information consists of a sample of m values, each of which is the ...
Alex Capaldi, Tiffany N Kolba
doaj   +1 more source

Long‐Term Outcomes of Patients With Relapsed/Refractory Neuroblastoma Treated on ANBL1221: A Report From the Children's Oncology Group

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Results of COG ANBL1221 changed treatment paradigms for patients with relapsed/refractory neuroblastoma. Chemoimmunotherapy with irinotecan/temozolomide/dinutuximab is now used as both bridge therapy following suboptimal response to induction and as treatment in first relapse.
Elizabeth Sokol   +6 more
wiley   +1 more source

"Minimax Empirical Bayes Ridge-Principal Component Regression Estimators" [PDF]

open access: yes
In this paper, we consider the problem of estimating the regression parameters in a multiple linear regression model with design matrix A when the multicollinearity is present.
Tatsuya Kubokawa, M. S. Srivastava
core  

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