Results 51 to 60 of about 3,223,931 (336)

Confidence Regions for Steady-State Probabilities and Additive Functionals Based on a Single Sample Path of an Ergodic Markov Chain

open access: yesMathematics
Discrete, finite-state Markov chains are applied in many different fields. When a system is modeled as a discrete, finite-state Markov chain, the asymptotic properties of the system, such as the steady-state distribution, are often estimated based on a ...
Yann Vestring, Javad Tavakoli
doaj   +1 more source

Response to the comment Confidence in confidence distributions! [PDF]

open access: yesProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2021
Ryan Martin   +2 more
openaire   +1 more source

An effective likelihood-free approximate computing method with statistical inferential guarantees [PDF]

open access: yes, 2018
Approximate Bayesian computing is a powerful likelihood-free method that has grown increasingly popular since early applications in population genetics.
Li, Wentao   +2 more
core   +1 more source

Nonparametric confidence intervals for monotone functions

open access: yes, 2015
We study nonparametric isotonic confidence intervals for monotone functions. In Banerjee and Wellner (2001) pointwise confidence intervals, based on likelihood ratio tests for the restricted and unrestricted MLE in the current status model, are ...
Groeneboom, Piet, Jongbloed, Geurt
core   +1 more source

Biophysical analysis of angiotensin II and amyloid‐β cross‐interaction in aggregation and membrane disruption

open access: yesFEBS Letters, EarlyView.
Angiotensin II (AngII), a neuropeptide, interacts with amyloid‐β (Aβ), a key player in Alzheimer's disease. This study reveals that AngII reduces Aβ aggregation and membrane disruption in vitro. Biophysical assays and molecular modeling suggest AngII binds disordered Aβ forms, potentially modulating early amyloidogenic events and contributing to ...
Mohsen Habibnia   +5 more
wiley   +1 more source

Linked dimers of the AAA+ ATPase Msp1 reveal energetic demands and mechanistic plasticity for substrate extraction from lipid bilayers

open access: yesFEBS Letters, EarlyView.
Cells must clear mislocalized or faulty proteins from membranes to survive. The AAA+ ATPase Msp1 performs this task, but dissecting how its six subunits work together is challenging. We engineered linked dimers with varied numbers of functional subunits to reveal how Msp1 subunits cooperate and use energy to extract proteins from the lipid bilayer ...
Deepika Gaur   +5 more
wiley   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

open access: yesMolecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes   +20 more
wiley   +1 more source

A frequentist framework of inductive reasoning

open access: yes, 2009
Reacting against the limitation of statistics to decision procedures, R. A. Fisher proposed for inductive reasoning the use of the fiducial distribution, a parameter-space distribution of epistemological probability transferred directly from limiting ...
AM Polansky   +73 more
core   +1 more source

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation

open access: yesMolecular Oncology, EarlyView.
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani   +14 more
wiley   +1 more source

Confidence Interval Estimation of Proportion Near Zero or One: A Modeling Secondary Study

open access: yesمجله اپیدمیولوژی ایران, 2017
Background and Objectives: When computing a confidence interval for a binomial proportion p, one must choose an exact interval that has a coverage probability of at least 1-α for all values of p.
S Hamzeh, AR Soltanian, J Faradmal
doaj  

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