Using informative priors to account for identifiability issues in occupancy models with identification errors by Monchy, Célian, Etienne, Marie-Pierre, Gimenez, Olivier

Subjects: “…Bayesian modelling…”
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Prime time. La temporalidad de las prácticas funerarias en el megasitio de la Edad del Cobre de Valencina (c. 2900-2650 a. C.) by Leonardo García Sanjuán, Francisco Sánchez Díaz, F. Xavier Oms, Jonàs Alcaina-Mateos, Marta Cintas-Peña

Subjects: “…Radiocarbon; Bayesian modelling; Spatial modelling; Copper Age; Valencina.…”
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THE IMPACT OF MACROECONOMIC FACTORSON POVERTY REDUCTION IN LAMDONG PROVINCE by Hồ Quang Thanh, Hoàng Trọng Vinh, Trần Tuấn

“…We use a multiple regression model optimized by means of BMA (Bayesian Model Average) in which several macroeconomic variables includingincome, unemployment (employment), inflation and quality of human resources in Lamdong are employed. …”
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Online Bayesian Data Fusion in Environment Monitoring Sensor Networks by Yang Dingcheng, Wang Zhenghai, Xiao Lin, Zhang Tiankui

“…This paper gives a novel Bayesian model to reliably monitor physical phenomenon. …”
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Spatial Images Feature Extraction Based on Bayesian Nonlocal Means Filter and Improved Contourlet Transform by Pengcheng Han, Junping Du

“…A nonsubsampled contourlet transform is used as the basis for an improved Bayesian nonlocal means (NLM) filter for different frequencies. The Bayesian model adds a sigma range in image a priori operations, which can be more effective in protecting image details. …”
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Analysis of Network Information Retrieval Method Based on Metadata Ontology by Chunping Wang, Keming Chen

“…This article constructs an LDA three-layer Bayesian model with a three-layer structure of document, topic, and single order. …”
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Bayesian active sound localisation: To what extent do humans perform like an ideal-observer? by Glen McLachlan, Piotr Majdak, Jonas Reijniers, Michael Mihocic, Herbert Peremans

“…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. …”
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Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data by Yuxiong Ji, Jizhou Zhao, Zhiming Zhang, Yuchuan Du

“…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. …”
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Investigating the diet of Mesolithic groups in the Southern Alps: An attempt using stable carbon and nitrogen isotope analyses by Valentina Gazzoni, Gwenaëlle Goude, Giampaolo Dalmeri, Antonio Guerreschi, Elisabetta Mottes, Franco Nicolis, Fabrizio Antonioli, Federica Fontana

“…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. …”
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Chinaʼs Economic Growth, Energy Efficiency, and Industrial Development: Nonlinear Effects on Carbon Dioxide Emissions by Donghai Zhou, Binxia Chen, Jiahui Li, Yuanying Jiang

“…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. …”
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A hierarchical Bayesian approach to assess the impact of environmental factors on soybean yield and yield components by Nur Habibi Luthfan, Matsui Tsutomu, Tanaka Takashi S.T.

“…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. …”
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Cross-Border Travel Behavior Analysis of Hong Kong-Zhuhai-Macao Bridge Using MXL-BMA Model by Yajie Zou, Wanbing Han, Bo Lin, Bing Wu, Linbo Li, Shubo Wu, Malik Muneeb Abid

“…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. …”
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DOA Estimation for a Mixture of Uncorrelated and Coherent Sources Based on Hierarchical Sparse Bayesian Inference with a Gauss-Exp-Chi2 Prior by Pinjiao Zhao, Weijian Si, Guobing Hu, Liwei Wang

“…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. …”
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Efficiency Measurement and Determinant Factors of Marine Economy in China: Based on the Belt and Road Perspective by Yinyin Wang, Conghua Xue, Huimin Li, Kaizhi Yu

“…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. …”
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Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager by Gen Wang, Kefu Wang, Wei Han, Dongyong Wang, Xuexing Qiu

“…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. …”
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La datation des aqueducs de Lyon : nouvelles données et contribution de l’analyse statistique bayésienne by Christine Oberlin, Jean-Claude Lefèvre

“…The resulting chronology, based solely on the use of the Bayesian model, is still awaiting discussion with archaeologists.…”
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Predicting treatment response to ketamine in treatment-resistant depression using auditory mismatch negativity: Study protocol. by Josh Martin, Fatemeh Gholamali Nezhad, Alice Rueda, Gyu Hee Lee, Colleen E Charlton, Milad Soltanzadeh, Karim S Ladha, Sridhar Krishnan, Andreea O Diaconescu, Venkat Bhat

“…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.…”
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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 by Anne Grundlehner, Mardik F. Leopold, Anna Kersten

“…We used an explicit spatial-temporal Bayesian model to predict their spatial distribution patterns based on eight aerial surveysed. …”
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Kidney damage on fertility and pregnancy: A Mendelian randomization. by Jin Ren, Qiuyan Huang, Xiaowei Lie, Xingli Tong, Qi Yao, Ge Zhou

“…Next, we introduced the Bayesian model averaging MR analysis to detect major causal relationships and render the results robust. …”
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Climate change impact assessment on groundwater level changes: A study of hybrid model techniques by Stephen Afrifa, Tao Zhang, Xin Zhao, Peter Appiahene, Mensah Samuel Yaw

“…The HM is made up of a Bayesian model averaging (BMA) and three machine learning models: random forest (RF), support vector machine (SVM), and artificial neural network. …”
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