Results 61 to 70 of about 3,223,931 (336)

Confidence and Uncertainty Assessment for Distributional Random Forests

open access: yesJournal of Machine Learning Research, 24, 2023
ISSN:1532 ...
Näf, Jeffrey   +3 more
openaire   +2 more sources

Micro-organism distribution sampling for bioassays [PDF]

open access: yes, 1975
Purpose of sampling distribution is to characterize sample-to-sample variation so statistical tests may be applied, to estimate error due to sampling (confidence limits) and to evaluate observed differences between samples. Distribution could be used for
Nelson, B. A.
core   +1 more source

Tonic signaling of the B‐cell antigen‐specific receptor is a common functional hallmark in chronic lymphocytic leukemia cell phosphoproteomes at early disease stages

open access: yesMolecular Oncology, EarlyView.
B‐cell chronic lymphocytic leukemia (B‐CLL) and monoclonal B‐cell lymphocytosis (MBL) show altered proteomes and phosphoproteomes, analyzed using mass spectrometry, protein microarrays, and western blotting. Identifying 2970 proteins and 316 phosphoproteins, including 55 novel phosphopeptides, we reveal BCR and NF‐kβ/STAT3 signaling in disease ...
Paula Díez   +17 more
wiley   +1 more source

INTERVALOS DE CONFIANZA PARA EL PARÁMETRO DE LA DISTRIBUCIÓN BINOMIAL INTERVALOS DE CONFIANZA PARA EL PARÁMETRO DE LA DISTRIBUCIÓN BINOMIAL

open access: yesRevista Colombiana de Estadística, 2001
La construcción de intervalos de confianza para la estimación del parámetro π, de la distribución binomial, es un problema importante en el trabajo estadístico aplicado.
Correa M. Juan, Sierra L. Esperanza
doaj  

Some asymptotic results for fiducial and confidence distributions [PDF]

open access: yesStatistics & Probability Letters, 2018
Under standard regularity assumptions, we provide simple approximations for specific classes of fiducial and confidence distributions and discuss their connections with objective Bayesian posteriors. For a real parameter the approximations are accurate at least to order O(1/n).
Veronese, Piero, Melilli, Eugenio
openaire   +4 more sources

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

open access: yesMolecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu   +12 more
wiley   +1 more source

Technique for confidence interval calculating for estimating of the random value subordinated to the composition of normal and uniform distributions

open access: yesDoklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, 2019
The general case of determining of probability of hit by a given section of a random variable subordinated to the composition of normal and uniform distribution laws having arbitrary distribution centers is considered. A technique for confidence interval
E. L. Kreidik
doaj  

Estimating the turning point location in shifted exponential model of time series

open access: yes, 2016
We consider the distribution of the turning point location of time series modeled as the sum of deterministic trend plus random noise. If the variables are modeled by shifted exponentials, whose location parameters define the trend, we provide a formula ...
Cammarota, Camillo
core   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

open access: yesMolecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh   +8 more
wiley   +1 more source

Edgeworth and Cornish Fisher expansions and confidence intervals for the distribution, density and

open access: yesStatistica, 2013
We show that kernel density estimates of bandwidth h=h(n)→0 satisfy the Cornish-Fisher assumption with parameter m=nh. This allows Cornish-Fisher expansions about the normal for standardized and Studentized kernel density estimates.
Christopher S. Withers   +1 more
doaj   +1 more source

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