-
41
Bayesian active sound localisation: To what extent do humans perform like an ideal-observer?
Published 2025-01-01“…In the evaluation, we compared human performance obtained in a free-field active localisation experiment with the predictions of a Bayesian model. Model noise parameters were set a-priori based on behavioural results from other studies, i.e., without any post-hoc parameter fitting to behavioural results. …”
Get full text
Article -
42
Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data
Published 2017-01-01“…In this study, we propose a hierarchical Bayesian model to estimate trip-level OD flow matrices and a period-level OD flow matrix using sampled OD flow data collected by Wi-Fi sensors and boarding data provided by fareboxes. …”
Get full text
Article -
43
Investigating the diet of Mesolithic groups in the Southern Alps: An attempt using stable carbon and nitrogen isotope analyses
Published 2021-04-01“…The isotopic data and the Bayesian model developed from the latter and from data in the literature indicate a very significant proportion of terrestrial resources in the protein fraction of the human diet, particularly from red deer compared to other ungulates and potentially from freshwater fish and small mammals. …”
Get full text
Article -
44
Chinaʼs Economic Growth, Energy Efficiency, and Industrial Development: Nonlinear Effects on Carbon Dioxide Emissions
Published 2021-01-01“…According to the Bayesian model comparison criterion, TVP-SV-VAR was selected as the second constructed model from four types of VAR models containing nonlinear structures. …”
Get full text
Article -
45
A hierarchical Bayesian approach to assess the impact of environmental factors on soybean yield and yield components
Published 2025-01-01“…The objectives of this study are to understand the relationship among yield, yield components, and environmental factors using a hierarchical Bayesian model, and to determine the potential limiting factors for soybean yield production. …”
Get full text
Article -
46
Environmental drivers of stream metabolism in a middle TN headwater stream.
Published 2024-01-01“…Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) were calculated based on a Bayesian model using the dissolved oxygen (DO) time series approach. …”
Get full text
Article -
47
Effect of the Ensemble System Size on the Precipitation Forecast Accuracy
Published 2022-09-01“…There are several methods for post-processing of ensemble forecasting, including Bayesian Model Averaging (BMA) and Ensemble Model Output Statistics (EMOS) that they are more popular because of higher efficiency and accuracy. …”
Get full text
Article -
48
An intensification of surface Earth’s energy imbalance since the late 20th century
Published 2024-10-01“…We have employed the Bayesian Model Averaging (BMA) method, integrating it with recent developments in surface solar radiation observational data, to refine the ensemble of CMIP6 model outputs. …”
Get full text
Article -
49
Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysis
Published 2025-01-01“…Relevant diagnostic accuracy data were extracted and a Bayesian model that combined direct and indirect evidence was used for analysis.Results16 original studies were included and data from 2,447 patients were collated to assess the diagnostic value of 10 different methods. …”
Get full text
Article -
50
Cross-Border Travel Behavior Analysis of Hong Kong-Zhuhai-Macao Bridge Using MXL-BMA Model
Published 2023-01-01“…Mixed logit (MXL) model can overcome the above limitations, but it may neglect model uncertainty. Therefore, a Bayesian model averaging (BMA) approach is applied to model travel mode choice behavior considering using revealed preference/stated preference (RP/SP) fusion data collected by questionnaires online. …”
Get full text
Article -
51
Why the gaze behavior of expert physicians and novice medical students differ during a simulated medical interview: A mixed methods study.
Published 2025-01-01“…During the simulated medical interview, participants' gaze behavior was measured across five areas: the patient's eyes, face, body trunk, medical chart, and medical questionnaire. A hierarchical Bayesian model analyzed differences in gaze behavior between expert physicians and novice medical students. …”
Get full text
Article -
52
Square Root Unscented Kalman Filter-Based Multiple-Model Fault Diagnosis of PEM Fuel Cells
Published 2024-12-01“…Online state estimates are provided by the SRUKF, which additionally propagates model-conditioned statistical information to update a Bayesian framework for model selection. The Bayesian model selection method carries fault indication signals that are interpreted by a derived decision logic to obtain reliable information on the current-operating system regime. …”
Get full text
Article -
53
DOA Estimation for a Mixture of Uncorrelated and Coherent Sources Based on Hierarchical Sparse Bayesian Inference with a Gauss-Exp-Chi2 Prior
Published 2018-01-01“…A three-layer hierarchical sparse Bayesian model is established. Then, by exploiting variational Bayesian approximation, the model parameters are estimated by alternately updating until Kullback-Leibler (KL) divergence between the true posterior and the variational approximation becomes zero. …”
Get full text
Article -
54
Efficiency Measurement and Determinant Factors of Marine Economy in China: Based on the Belt and Road Perspective
Published 2021-01-01“…The influencing factors of efficiency are analyzed using the Bayesian model averaging (BMA) method based on the indicator system constructed on the relationship between the Belt and Road and marine economic efficiency. …”
Get full text
Article -
55
Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager
Published 2020-01-01“…The contribution rate of the brightness temperature at different channels to the objective function of precipitation retrieval model was obtained by the Bayesian model averaging (BMA). Based on the preliminary experimental “quantification” evaluation index, we concluded that the method adopted in this paper can be used to retrieve precipitation in infrared data and to retrieve the spiral cloud rain bands of a typhoon. …”
Get full text
Article -
56
La datation des aqueducs de Lyon : nouvelles données et contribution de l’analyse statistique bayésienne
Published 2023-12-01“…The resulting chronology, based solely on the use of the Bayesian model, is still awaiting discussion with archaeologists.…”
Get full text
Article -
57
Predicting treatment response to ketamine in treatment-resistant depression using auditory mismatch negativity: Study protocol.
Published 2024-01-01“…To translate the effects of ketamine on the MMN to computational mechanisms, we will model changes in the auditory MMN using the hierarchical Gaussian filter, a hierarchical Bayesian model. Furthermore, we will employ a conductance-based neural mass model of the electrophysiological data to link these computational mechanisms to their neural causes.…”
Get full text
Article -
58
A Predictive Nomogram for Selective Screening of Chronic Kidney Disease: A Population-Based Study
Published 2025-01-01“…The CKD was diagnosed using the albumin-to-creatinine ratio and/or estimated glomerular filtration rate by the CKD-EPI 2009 equation based on serum creatinine, age, gender, and race (these tests included a baseline measurement and a repeat measurement after 3 months) according to the KDIGO 2012 guideline. We used the Bayesian Model Averaging method to identify the optimal model for predicting CKD. …”
Get full text
Article -
59
This is EPIC: Extensive Periphery for Impact and Control to study seabird habitat loss in and around offshore wind farms combining a peripheral control area and Bayesian statistics
Published 2025-03-01“…We used an explicit spatial-temporal Bayesian model to predict their spatial distribution patterns based on eight aerial surveysed. …”
Get full text
Article -
60
Kidney damage on fertility and pregnancy: A Mendelian randomization.
Published 2023-01-01“…Next, we introduced the Bayesian model averaging MR analysis to detect major causal relationships and render the results robust. …”
Get full text
Article
