Results 71 to 80 of about 828,317 (269)

Empirical Likelihood for Nonsmooth Functionals

CoRR
Empirical likelihood is an attractive inferential framework that respects natural parameter boundaries, but existing approaches typically require smoothness of the functional and miscalibrate substantially when these assumptions are violated. For the optimal-value functional central to policy evaluation, smoothness holds only when the optimum is unique
openaire   +2 more sources

The distribution of calibrated likelihood functions on the probability-likelihood Aitchison simplex

CoRR
Preprint.
Paul-Gauthier Noé, Andreas Nautsch, Driss Matrouf, Pierre-Michel Bousquet, Jean-François Bonastre   +4 more
openaire   +2 more sources

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Using a Neural Network to Approximate the Negative Log Likelihood Function [PDF]

EPJ Web of Conferences
An increasingly frequent challenge faced in HEP data analysis is to characterize the agreement between a prediction that depends on a dozen or more model parameters—such as predictions coming from an effective field theory (EFT) framework—and the ...
Liu Shenghua, Jamieson Nathan, Lannon Kevin, Mohrman Kelci, Negash Sirak, Wan Yuyi, Yates Brent   +6 more
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

The estimation of the uncertainty associated with rating curves of the river Ivinhema in the state of Paraná/Brazil

E3S Web of Conferences, 2018
The estimation of the uncertainty associated with stage-discharge relations is a challenge to the hydrologists. Bayesian inference with likelihood estimator is a promissory approach.
Maldonado Luiz Henrique, Firmo Kazay Daniel, Romero Lopez Elio Emanuel   +2 more
doaj   +1 more source

Improving logistic regression on the imbalanced data by a novel penalized log-likelihood function. [PDF]

J Appl Stat, 2022
Zhang L, Geisler T, Ray H, Xie Y.
europepmc   +1 more source

Likelihood Ratio Tests for Monotone Functions

The Annals of Statistics, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Banerjee, Moulinath, Wellner, Jon A.
openaire   +2 more sources

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Parameter Estimation with Data-Driven Nonparametric Likelihood Functions

Entropy, 2019
In this paper, we consider a surrogate modeling approach using a data-driven nonparametric likelihood function constructed on a manifold on which the data lie (or to which they are close).
Shixiao W. Jiang, John Harlim
doaj   +1 more source