Results 41 to 50 of about 6,283,315 (292)

Statistical inference for zero-and-one-inflated poisson models

open access: yesStatistical Theory and Related Fields, 2017
In this paper, a zero-and-one-inflated Poisson (ZOIP) model is studied. The maximum likelihood estimation and the Bayesian estimation of the model parameters are obtained based on data augmentation method.
Yincai Tang, Wenchen Liu, Ancha Xu
doaj   +1 more source

Statistical Relational Learning With Unconventional String Models

open access: yesFrontiers in Robotics and AI, 2018
This paper shows how methods from statistical relational learning can be used to address problems in grammatical inference using model-theoretic representations of strings.
Mai H. Vu   +5 more
doaj   +1 more source

Loop series for discrete statistical models on graphs [PDF]

open access: yes, 2006
In this paper we present derivation details, logic, and motivation for the loop calculus introduced in \cite{06CCa}. Generating functions for three inter-related discrete statistical models are each expressed in terms of a finite series.
Baxter R J   +19 more
core   +1 more source

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait   +23 more
wiley   +1 more source

Comparing estimates of climate change impacts from process-based and statistical crop models

open access: yesEnvironmental Research Letters, 2017
The potential impacts of climate change on crop productivity are of widespread interest to those concerned with addressing climate change and improving global food security.
David B Lobell, Senthold Asseng
doaj   +1 more source

Statistical Models for Stability Analysis in Watermelon

open access: yesJournal of Horticultural Sciences, 2009
Fourteen promising F1 hybrids of watermelon namely IIHR-188 X IIHR-118, IIHR 114 X IIHR 118 , IIHR 119 X IIHR- 20-1, Arka Manik X IIHR 46, IIHR 43 X IIHR 46, Arka Manik X IIHR-188, Arka Jyothi, NS-295, Kushboo, Madhubala, Apoorva, CWH-7 and Riya were ...
R Venugopalan, M Pitchaimuthu
doaj   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski   +9 more
wiley   +1 more source

Statistical inference for time-inhomogeneous volatility models

open access: yes, 2004
This paper offers a new approach for estimating and forecasting the volatility of financial time series. No assumption is made about the parametric form of the processes.
Mercurio, Danilo, Spokoiny, Vladimir
core   +1 more source

NRASQ61R Expression in Lymphatic Endothelial Cells Causes Enlarged Vessels, Hemorrhagic Chylous Effusions, and High Mortality in a Mouse Model of Kaposiform Lymphangiomatosis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel   +3 more
wiley   +1 more source

AUTOMATED CONSTRUCTION OF 3D STATISTICAL SHAPE MODELS

open access: yesImage Analysis and Stereology, 2011
Automated segmentation of medical images is a difficult task because of the complexity of anatomic structures, inter-patient variability, and imperfect image acquisition.
Tomaž Vrtovec   +4 more
doaj   +1 more source

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