Modern Bayesian Sampling Methods for Cosmological Inference: A Comparative Study by Denitsa Staicova

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Landslide data sample augmentation and landslide susceptibility analysis in Nyingchi City based on the MCMC model by Lianchen Liu, Peiqing Wang, Libin Su, Feng Li

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A bayesian approach for parameterizing and predicting plasmid conjugation dynamics by Sirinapa Kumsuwan, Chanon Jaichuen, Chakachon Jatura, Pakpoom Subsoontorn

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Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures by Francesco Bruni Prenestino, Enrico Barbierato, Alice Gatti

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Characterization of the Collagen Extraction Manufacturing Process Using Markov Chains and Artificial Neural Networks by Rosa Trasvina-Osorio, Sergio Alonso-Romero, Juan de Anda-Suarez, Valentin Calzada-Ledesma, Javier Yanez-Mendiola, Luis Fernando Villanueva-Jimenez, Erick Rojas-Mancera

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Convergence of Limiting Cases of Continuous-Time, Discrete-Space Jump Processes to Diffusion Processes for Bayesian Inference by Aaron Lanterman

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BAYESIAN FINITE ELEMENT MODEL UPDATING BASED ON MARKOV CHAIN POPULATION COMPETITION by YE Ling, JIANG HongKang, ZOU YuQing, CHEN HuaPeng, WANG LiCheng

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Effects of vector control interventions on spatio-temporal changes of falciparum malaria risk in children aged 2–10 in sub-Saharan African regions during 2011–2020 by Changkuoth Jock Chol, Changkuoth Jock Chol, Denekew Bitew Belay, Denekew Bitew Belay, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Ding-Geng Chen, Ding-Geng Chen

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Quantum Bayesian Inference with Renormalization for Gravitational Waves by Gabriel Escrig, Roberto Campos, Hong Qi, M. A. Martin-Delgado

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Characterizing the Nanohertz Gravitational Wave Background Using a t-process Power Spectral Density by Shashwat C. Sardesai, Joseph Simon, Sarah J. Vigeland

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Observations and Studies on the Transiting Systems HAT-P-36, XO-2 and WASP-76 by Weilong Wang, Shenghong Gu, Xiaobin Wang, Leilei Sun, Byeong-Cheol Lee, Chi-Tai Kwok, Ho-Keung Hui, Jiangpei Dou, Yue Xiang, Dongtao Cao, Fukun Xu

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glabcmcmc: a Python package for ABC-MCMC with local and global moves by Xuefei Cao, Shijia Wang, Yongdao Zhou

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A Differentiable Binary Microlensing Model Using Adaptive Contour Integration Method by Haibin Ren, Wei Zhu

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On Bayesian estimation of a latent trait model defined by a rank-based likelihood by Daniel Biftu Bekalo, Anthony Kibira Wanjoya, Samuel Musili Mwalili

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NNHMC: An Efficient Stokes Inversion Method Using a Neural Network (NN) Model Combined with the Hamiltonian Monte Carlo (HMC) Algorithm by Chong Xu, JinLiang Wang, Hao Li, ZiYao Hu, XianYong Bai, JiaBen Lin, Hui Liu, ZhenYu Jin, KaiFan Ji

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Bayesian modeling reveals metabolite‐dependent ultrasensitivity in the cyanobacterial circadian clock by Lu Hong, Danylo O Lavrentovich, Archana Chavan, Eugene Leypunskiy, Eileen Li, Charles Matthews, Andy LiWang, Michael J Rust, Aaron R Dinner

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Differentiable Modeling of Planet and Substellar Atmosphere: High-resolution Emission, Transmission, and Reflection Spectroscopy with ExoJAX2 by Hajime Kawahara, Yui Kawashima, Shotaro Tada, Hiroyuki Tako Ishikawa, Ko Hosokawa, Yui Kasagi, Takayuki Kotani, Kento Masuda, Stevanus K. Nugroho, Motohide Tamura, Hibiki Yama, Daniel Kitzmann, Nicolas Minesi, Brett M. Morris

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A comparative approach of analyzing data uncertainty in parameter estimation for a Lumpy Skin Disease model by Edwiga Renald, Miracle Amadi, Heikki Haario, Joram Buza, Jean M. Tchuenche, Verdiana G. Masanja

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Calibration and Uncertainty Analysis of Freundlich and Langmuir Isotherms Using the Markov Chain Monte Carlo (MCMC) Approach by Haniyeh Sharifi Moghadam, Saeed Alimohammadi

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An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

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