Results 51 to 60 of about 547,274 (236)

HyPE: Online Hybrid Pseudo-Bayesian Estimation Method for S-ALOHA-Based Tactical FANETs

IEEE Access
Significant challenges are involved in tactical flying ad-hoc network (FANET) missions because network environments are very dynamic. In addition, energy-efficient network operation is important in tactical FANETs owing to the limited capacity of the on ...
Jimin Jeon, Junseung Lee, Taewook Kim, Jaeha Ahn, Youngbin Yu, Min Lee, Heejung Yu, Howon Lee   +7 more
doaj   +1 more source

How few countries will do? Comparative survey analysis from a Bayesian perspective

Survey Research Methods, 2012
Meuleman and Billiet (2009) have carried out a simulation study aimed at the question how many countries are needed for accurate multilevel SEM estimation in comparative studies.
Joop J.C.M. Hox, Rens van de Schoot, Suzette Matthijsse   +2 more
doaj   +1 more source

Time-varying Clock Offset Estimation in Two-way Timing Message Exchange in Wireless Sensor Networks Using Factor Graphs

, 2012
The problem of clock offset estimation in a two-way timing exchange regime is considered when the likelihood function of the observation time stamps is exponentially distributed.
Ahmad, Aitzaz, Serpedin, Erchin, Vangelista, Lorenzo, Zennaro, Davide   +3 more
core   +1 more source

High Healthcare Utilization Preceding Diagnosis with Juvenile Idiopathic Arthritis

Arthritis Care &Research, Accepted Article.
Objective Though early diagnosis improves long‐term outcomes, Juvenile Idiopathic Arthritis (JIA) patients often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize healthcare utilization in the year preceding diagnosis.
Anna Costello, Rui Xiao, Xuemei Zhang, Jahan Jazayeri, Irit R Rasooly, Pamela F Weiss   +5 more
wiley   +1 more source

Underwater Acoustic Channel Estimation Based on Sparse Bayesian Learning Algorithm

IEEE Access, 2023
The channel estimation algorithm based on sparse Bayesian learning proposed in recent years shows better performance than the traditional channel estimation algorithm by effectively reducing the convergence error in the channel estimation process ...
Shuyang Jia, Sichen Zou, Xiaochuan Zhang, Lianglong Da   +3 more
doaj   +1 more source

Bayesian Policy Gradients via Alpha Divergence Dropout Inference

, 2011
Policy gradient methods have had great success in solving continuous control tasks, yet the stochastic nature of such problems makes deterministic value estimation difficult.
Henderson, Peter, Doan, Thang, Islam, Riashat, Meger, David   +3 more
core   +3 more sources

Trajectories of Physical Function in Canadian Children with Juvenile Idiopathic Arthritis

Arthritis Care &Research, Accepted Article.
Objectives We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham, Meghan McPherson, Lillian Lim, Roberta A. Berard, Matthew Berkowitz, Jean‐Philippe Proulx‐Gauthier, Brian M. Feldman, Nicole Johnson, Dax G. Rumsey, Heinrike Schmeling, Lori B. Tucker, Thomas Loughin, Kristin M. Houghton, Jaime Guzman, The CAPRI Registry Investigators   +14 more
wiley   +1 more source

Empirical E-Bayesian estimation of hierarchical poisson and gamma model using scaled squared error loss function

Alexandria Engineering Journal, 2023
The hierarchical models have not only a major concern with developing computational schemes but also assist in inferring the multi-parameter problems.
Azeem Iqbal, Muhammad Yousaf Shad, Mansour F. Yassen   +2 more
doaj   +1 more source

Bayesian Estimation Under Informative Sampling

, 2016
Bayesian analysis is increasingly popular for use in social science and other application areas where the data are observations from an informative sample.
Savitsky, Terrance D., Toth, Daniell
core   +1 more source

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