Results 71 to 80 of about 4,285,600 (233)

INVARIANT PROBABILITY MEASURE FOR CERTAIN MARKOV PRECESS

, 1989
A discrete-time Markov process on R^(n) is considered. Sufficient conditions for the existence of a unique invariant probability measure are given.;상태공간(state space)이 R^(n)인 이산·시 마르코프 과정(discrete-time Markov process)률 생각하고, 이 과정의 불변 확률측도(invariant ...
김유현
core   +1 more source

Psychometric properties of the Probability Bias Measure.

PLoS ONE
Probability bias is the tendency to think that negative events are relatively likely to happen, and that positive events are relatively unlikely to happen. It is reliably associated with depressive and anxious symptom severity.
Robert W Booth, Gubse N Aydın, Beril Başara, Ceren Yılmaz   +3 more
doaj   +1 more source

On the Čech-Completeness of the Space of τ-Smooth Idempotent Probability Measures

Axioms
For the set I(X) of probability measures on a compact Hausdorff space X, we propose a new way to introduce the topology by using the open subsets of the space X.
Ljubiša D. R. Kočinac, Adilbek A. Zaitov, Muzaffar R. Eshimbetov   +2 more
doaj   +1 more source

On Joint Distribution of General Dirichlet Series

Nonlinear Analysis, 2003
In the paper a joint limit theorem in the sense of the weak convergence in the space of meromorphic functions for general Dirichlet series is proved under weaker conditions as in [1].
J. Genys, A. Laurinčikas
doaj   +1 more source

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

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

Standard representation of multivariate functions on a general probability space

, 2009
It is well-known that a random variable, i.e. a function defined on a   probability space, with values in a Borel space, can be represented on   the special probability space consisting of the unit interval with  Lebesgue measure. We show an extension of
Janson, Svante,
core   +4 more sources

Weighting order and disorder on complexity measures

Journal of Taibah University for Science, 2017
The initial ideas regarding measuring complexity appeared in computer science, with the concept of computational algorithms. As a consequence, the equivalence between algorithm complexity and informational entropy was shown.
José Roberto C. Piqueira
doaj   +1 more source

On a Gibbs sampler based random process in Bayesian nonparametrics [PDF]

We define and investigate a new class of measure-valued Markov chains by resorting to ideas formulated in Bayesian nonparametrics related to the Dirichlet process and the Gibbs sampler.
Stefano Favaro, Stephen G. Walker, Matteo Ruggiero   +2 more
core  

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source