Results 31 to 40 of about 241,820 (264)

Asymptotic Results of Some Conditional Nonparametric Functional Parameters in High-Dimensional Associated Data

Mathematics, 2023
In this paper, we propose to study the asymptotic properties of some conditional functional parameters, such as the distribution function, the density, and the hazard function, for an explanatory variable with values in a Hilbert space (infinite ...
Hamza Daoudi, Zouaoui Chikr Elmezouar, Fatimah Alshahrani   +2 more
doaj   +1 more source

Conditional Distributions and Tightness

The Annals of Probability, 1974
Conditions for tightness and weak convergence of sequences of stochastic processes are given in terms of restrictions on the conditional probabilities of large increments and of large jumps.
openaire   +2 more sources

Prospecting the protein design landscape

FEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona, Katharina T. Stonig, Jens Meiler, Clara T. Schoeder, Monica L. Fernández‐Quintero   +4 more
wiley   +1 more source

The Application of a Joint Distribution of Significant Wave Heights and Peak Wave Periods in the Northwestern South China Sea

Journal of Marine Science and Engineering
A joint distribution of significant wave heights (Hs) and peak wave periods (Tp) in the northwestern South China Sea is created using a conditional distribution model in this work.
Gongpeng Liu, Qunan Ouyang, Zhanyuan He, Na Zhang   +3 more
doaj   +1 more source

Optimal Bayesian Estimation of a Regression Curve, a Conditional Density, and a Conditional Distribution

Mathematics, 2022
In this paper, several related estimation problems are addressed from a Bayesian point of view, and optimal estimators are obtained for each of them when some natural loss functions are considered.
Agustín G. Nogales
doaj   +1 more source

Distribution-Conditioned Transport

CoRR
Learning a transport model that maps a source distribution to a target distribution is a canonical problem in machine learning, but scientific applications increasingly require models that can generalize to source and target distributions unseen during training.
Nic Fishman, Gokul Gowri, Paolo L. B. Fischer, Marinka Zitnik, Omar Abudayyeh, Jonathan Gootenberg   +5 more
openaire   +2 more sources

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

Crop Yield Skewness and the Normal Distribution

Journal of Agricultural and Resource Economics, 2009
Empirical studies point to negative crop yield skewness, but the literature provides few clear insights as to why. This paper formalizes three points on the matter. Statistical laws on aggregates do not imply a normal distribution.
David A. Hennessy
doaj   +1 more source

Evolution‐guided yeast complementation reveals functional differences in human PSPH variants

FEBS Open Bio, EarlyView.
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez, Diana Ascencio, Miguel Vallebueno‐Estrada, Eduardo González‐Orozco, Christian Eduardo Martínez‐Guerrero, Rafael Montiel, Alexander DeLuna   +6 more
wiley   +1 more source

Asymptotic Learning Theory for Conditional U–Statistics Based on Delta Sequences Under Missing at Random Mechanisms

Mathematics
This article develops a unified asymptotic theory for conditional U-statistics based on delta-sequence smoothing, thereby extending, in a substantial and conceptually coherent manner, the classical kernel-based framework for localized nonlinear ...
Salim Bouzebda
doaj   +1 more source