Results 71 to 80 of about 309,149 (317)

Fractional Gaussian Noise: Projections, Prediction, Norms

Fractal and Fractional
We examine the one-sided and two-sided (bilateral) projections of an element of fractional Gaussian noise onto its neighboring elements. We establish several analytical results and conduct a numerical study to analyze the behavior of the coefficients of ...
Iryna Bodnarchuk, Yuliya Mishura, Kostiantyn Ralchenko   +2 more
doaj   +1 more source

Finding Structures of Interest in a Large Data Set Using Factor Analysis

Austrian Journal of Statistics, 2016
In this paper we introduce a statistical method which can be used in combination with principal component analysis or factor analysis. Certain variables of a large data set which are of interest can be selected in order to calculate loadings and scores ...
Peter Filzmoser
doaj   +1 more source

Addressing the gap between meso(grain) and continuum scales with stochastic burn models and probability density function theory [PDF]

, 2020
David E. Kittell
openalex   +1 more source

Virtual or In‐Person: Does It Matter? Comparing Pain, Function, Quality of Life, Self‐Efficacy, and Physical Function Outcomes of Virtual, Hybrid, and In‐Person Education and Exercise Program Participants

Arthritis Care &Research, EarlyView.
Objective This study aimed to determine if program format (in‐person, virtual, or hybrid) results in differences in 3‐month outcomes of pain, function, quality of life, self‐efficacy, and chair stands in a hip/knee osteoarthritis‐management program. Methods A secondary analysis of the Good Life with osteoArthritis in Denmark (GLA:D) Canada database was
Jill Van Damme, Vanina Dal Bello‐Haas, Ayse Kuspinar, Patricia Strachan, Michael Zywiel, James Young, Rhona McGlasson, Lisa C. Carlesso   +7 more
wiley   +1 more source

Comparison of classical, xgboost and neural network methods for parameter estimation in epidemic processes on random graphs

Franklin Open
The main goal of this paper is to quantitatively compare the performance of classical methods to XGBoost and convolutional neural networks in a parameter estimation problem for SIR epidemic spread. Since we model the underlying social network by flexible
Ágnes Backhausz, Edit Bognár, Villő Csiszár, Damján Tárkányi, András Zempléni   +4 more
doaj   +1 more source

Hip morphology‐based osteoarthritis risk prediction models: development and external validation using individual participant data from the World COACH Consortium

Arthritis Care &Research, Accepted Article.
Objectives This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the World COACH consortium ...
Myrthe A. van den Berg, Fleur Boel, Michiel M.A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M.A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B.J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

Conditioning in Tropical Probability Theory. [PDF]

Entropy (Basel), 2023
Matveev R, Portegies JW.
europepmc   +1 more source

Perceptions About Asymptomatic Hyperuricemia and Views About Urate‐Lowering Therapy in People With Asymptomatic Hyperuricemia

Arthritis Care &Research, EarlyView.
Objective Asymptomatic hyperuricemia is a precursor of gout and is also associated with cardiovascular disease and chronic kidney disease. The aim of this study was to understand perceptions about asymptomatic hyperuricemia and views about urate‐lowering therapy in people with asymptomatic hyperuricemia. Methods Participants in a multinational study of
Nicola Dalbeth, Sarah Stewart, Gregory D. Gamble, Borislav Mihov, Lisa K. Stamp, Janine Haslett, William J. Taylor, Tony R. Merriman, Adwoa Dansoa Tabi‐Amponsah, Anne Horne, Tuhina Neogi, Tristan Pascart, Mariano Andrés, Maria‐Luisa Peral‐Garrido, Eleonora Norkuviene, Janitzia Vazquez‐Mellado, Till Uhlig, Mingshu Sun, Changgui Li, Keith J. Petrie   +19 more
wiley   +1 more source

Preferences for post‐traumatic osteoarthritis prevention strategies in individuals with anterior cruciate ligament injury

Arthritis Care &Research, Accepted Article.
Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy, Lily Waddell, Adam Easterbrook, Jeffrey N. Katz, Cale Jacobs, Morgan Jones, Faith Selzer, Elena Losina, Liana Fraenkel, Nick Bansback   +9 more
wiley   +1 more source

Branching Random Walks in a Random Killing Environment with a Single Reproduction Source

Mathematics
We consider a continuous-time branching random walk on Z in a random non-homogeneous environment. The process starts with a single particle at initial time t=0.
Vladimir Kutsenko, Stanislav Molchanov, Elena Yarovaya   +2 more
doaj   +1 more source