Results 81 to 90 of about 11,544,586 (297)

Simulation Study of Autocorrelated Error Using Bayesian Quantile Regression

Science and Technology Indonesia, 2020
  The purpose of this study is to compare the ability of the Classical Quantile Regression method and the Bayesian Quantile Regression method in estimating models that contain autocorrelated error problems using simulation studies.
Nayla Desviona, Ferra Yanuar
doaj   +1 more source

Obesity Subtypes and Longitudinal Trajectories of Function Over Seven Years of Follow‐Up: Data From the Multicenter Osteoarthritis Study

Arthritis Care &Research, EarlyView.
Objective Obesity, defined by body mass index (BMI) ≥30 kg/m2, is a risk factor for functional limitations in people with knee osteoarthritis (OA). However, function varies among such individuals. Our objective was to evaluate the implications of obesity subtypes on longitudinal patterns of physical functioning in people with or at risk for knee OA ...
Kristine Godziuk, Sarah Tilley, Michael LaValley, Michael C. Nevitt, Cora E. Lewis, James C. Torner, Tuhina Neogi, for the Multicenter Osteoarthritis Study Group   +7 more
wiley   +1 more source

Longitudinal Changes in Adiposity After a Youth Sport‐Related Knee Injury: Informing Posttraumatic Osteoarthritis Prevention

Arthritis Care &Research, EarlyView.
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale, Nuria E. J. Jansen, Christina Y. Le, Leo Lu, Hui Xie, Marienke van Middelkoop, Jackie L. Whittaker   +6 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

The Generalized Method of Moments in the Bayesian Framework and a Model of Moment Selection Criterion [PDF]

While the classical framework has a rich set of limited information procedures such as GMM and other related methods, the situation is not so in the Bayesian framework.
Jae-Young Kim
core  

Bayesian statistical MUNE method

, 2007
We have developed a new method of motor unit number estimation (MUNE) for assessing diseases such as amyotrophic lateral sclerosis (ALS). We used data from the whole stimulus-response curve and then performed a Bayesian statistical analysis. The Bayesian
Henderson, Robert, Pettitt, Anthony, Ridall, Peter, Hutchinson, Nicole, Ridall, P. G., Henderson, R. D., Pettitt, A. N., Hutchinson, N. M., McCombe, Pamela, McCombe, P. A.   +9 more
core   +1 more source

Efficient acquisition rules for model-based approximate Bayesian computation [PDF]

, 2018
Approximate Bayesian computation (ABC) is a method for Bayesian inference when the likelihood is unavailable but simulating from the model is possible. However, many ABC algorithms require a large number of simulations, which can be costly. To reduce the
Pleska, Arijus, Järvenpää, Marko, Gutmann, Michael U., Marttinen, Pekka, Vehtari, Aki, Gutmann, Michael; id_orcid   +5 more
core   +1 more source

APPLYING BAYESIAN METHODS FOR METROLOGICAL EVALUATION AND INTERPRETATION OF FORENSIC EVIDENCE

Теория и практика судебной экспертизы, 2014
The paper summarizes Bayesian approaches to uncertainty assessment of forensicexamination results and o#ers a brief overview of current achievements in the applicationof the likelihood ratio concept in forensic practice.
G. Bebeshko, S. Voytov, G. Omelyanyuk, A. Usov   +3 more
doaj  

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Contribution to the phylogeny of Microgastrinae (Hymenoptera: Braconidae) based on mitochondrial COI and nuclear 28S rDNA genes, with comments on the identity of Pholetesor circumscriptus (Nees, 1834) [PDF]

Journal of Insect Biodiversity and Systematics
Microgastrines are diverse group of endoparasitoid wasps attacking caterpillars (Lepidoptera). Despite their importance in biological control, there is still no consensus concerning the phylogeny relationships among taxa.
Parisa Abdoli, Ali Asghar Talebi, Nickolas G. Kavallieratos, Rasoul Khosravi, Farzad Bidari   +4 more
doaj