Results 51 to 60 of about 1,545,095 (249)
Likelihood Inference for Factor Copula Models with Asymmetric Tail Dependence
For multivariate non-Gaussian involving copulas, likelihood inference is dominated by the data in the middle, and fitted models might not be very good for joint tail inference, such as assessing the strength of tail dependence.
Harry Joe, Xiaoting Li
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Re‐Irradiation in Pediatric Diffuse Midline Glioma: A Multi‐Institutional Retrospective Study
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
An inverse-square probability mass function (PMF) is at the Newcomb–Benford law (NBL)’s root and ultimately at the origin of positional notation and conformality. PrZ=2Z−2, where Z∈Z+.
Julio Rives
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tscount: An R Package for Analysis of Count Time Series Following Generalized Linear Models
The R package tscount provides likelihood-based estimation methods for analysis and modeling of count time series following generalized linear models. This is a flexible class of models which can describe serial correlation in a parsimonious way.
Tobias Liboschik +2 more
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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
The likelihood function is the common basis of all parametric inference. However, with the exception of an ad hoc definition by Fisher, there has been no such unifying basis for prediction of future events, given past observations. This article proposes a definition of predictive likelihood which can help to remove some nonuniqueness problems in ...
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A large body of evidence shows that perceptual decision making in humans and animals accounts for uncertainty in the relevant stimulus variable. This suggests that the decision is based on a distribution over stimuli given the neuronal activity rather than single point estimates.
Blessing, Christoph +7 more
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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
ABSTRACT Background Survival after relapse in pediatric acute myeloid leukemia (AML) remains poor, highlighting the critical importance of identifying prognostic factors to guide optimal relapse management. Methods We investigated the prognostic impact of multiparameter flow cytometry (MFC) measurable residual disease (MRD) in 188 patients with first ...
Camilla Poulsen +21 more
wiley +1 more source
Statistical models, likelihood, penalized likelihood and hierarchical likelihood
We give an overview of statistical models and likelihood, together with two of its variants: penalized and hierarchical likelihood. The Kullback-Leibler divergence is referred to repeatedly, for defining the misspecification risk of a model, for grounding the likelihood and the likelihood crossvalidation which can be used for choosing weights in ...
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