Results 51 to 60 of about 1,079,892 (278)
Decaying dark matter with profile likelihoods
Physical Review D, 2023 A large number of studies, all using Bayesian parameter inference from Markov chain Monte Carlo methods, have constrained the presence of a decaying dark matter component. All such studies find a strong preference for either very long-lived or very short-lived dark matter.
Emil Brinch Holm +4 more
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel +3 more
wiley +1 more source
Semiparametric Relative-risk Regression for Infectious Disease Data
, 2012 This paper introduces semiparametric relative-risk regression models for infectious disease data based on contact intervals, where the contact interval from person i to person j is the time between the onset of infectiousness in i and infectious contact ...
Kenah, Eben
core +1 more source
Two convergence results for an alternation maximization procedure [PDF]
, 2015 Andresen and Spokoiny's (2013) ``critical dimension in semiparametric estimation`` provide a technique for the finite sample analysis of profile M-estimators.
Andresen, Andreas, Spokoiny, Vladimir
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song +15 more
wiley +1 more source
UniverseWe reanalyze the spectral lag data for 56 Gamma-Ray Bursts (GRBs) in the cosmological rest frame to search for Lorentz Invariance Violation (LIV) using frequentist inference.
Vyaas Ramakrishnan, Shantanu Desai
doaj +1 more source
Likelihood inference for small variance components
, 2000 In this paper, we develop likelihood-based methods for making inferences about the components of variance in a general normal mixed linear model. In particular, we use local asymptotic approximations to construct confidence intervals for the components ...
Stern, S.E., Welsh, A.H.
core +2 more sources
Monte Carlo modified profile likelihood in models for clustered data [PDF]
, 2018 The main focus of the analysts who deal with clustered data is usually not on the clustering variables, and hence the group-specific parameters are treated as nuisance. If a fixed effects formulation is preferred and the total number of clusters is large
Cortese, Giuliana +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian +7 more
wiley +1 more source
Improving soil moisture profile reconstruction from ground-penetrating radar data: a maximum likelihood ensemble filter approach [PDF]
Hydrology and Earth System Sciences, 2013 The vertical profile of shallow unsaturated zone soil moisture plays a key role in many hydro-meteorological and agricultural applications. We propose a closed-loop data assimilation procedure based on the maximum likelihood ensemble filter algorithm to ...
A. P. Tran, M. Vanclooster, S. Lambot
doaj +1 more source