Water Resources Research, Volume 62, Issue 3, March 2026.Abstract In order to predict future performance of subsurface fluid reservoirs under possible operating scenarios, a dynamic, porous‐medium flow simulation model must be tuned to include representative properties of the reservoir. Estimating subsurface reservoir properties given remotely sensed or borehole‐based observations typically involves finding ...
Zhen Zhang, Xuebin Zhao, Andrew Curtis
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Nonlocal total variation based on symmetric Kullback-Leibler divergence for the ultrasound image despeckling. [PDF]
BMC Med Imaging, 2017 Liang S +5 more
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Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web
Australian &New Zealand Journal of Statistics, Volume 68, Issue 1, March 2026.ABSTRACT Visual assessment of residual plots is a common approach for diagnosing linear models, but it relies on manual evaluation, which does not scale well and can lead to inconsistent decisions across analysts. The lineup protocol, which embeds the observed plot among null plots, can reduce subjectivity but requires even more human effort.
Weihao Li +4 more
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Analysis of Cell Signal Transduction Based on Kullback-Leibler Divergence: Channel Capacity and Conservation of Its Production Rate during Cascade. [PDF]
Entropy (Basel), 2018 Tsuruyama T.
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Why Interest Groups With Divergent Goals Collaborate: Evidence From Climate Regulation
Economics &Politics, Volume 38, Issue 1, Page 46-61, March 2026.ABSTRACT Why do interest groups with contrasting interests and policy goals work together? I present a theory of collaborative policy production and show that interest groups can achieve higher policy gains through collaboration, even though their ideal policy goals may diverge significantly.
Dahyun Choi
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A Sequence-Based Damage Identification Method for Composite Rotors by Applying the Kullback-Leibler Divergence, a Two-Sample Kolmogorov-Smirnov Test and a Statistical Hidden Markov Model. [PDF]
Entropy (Basel), 2019 Filippatos A +3 more
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A Mixture Transition Distribution Modeling for Higher‐Order Circular Markov Processes
Journal of Time Series Analysis, Volume 47, Issue 2, Page 304-320, March 2026.ABSTRACT This study considers the stationary higher‐order Markov process for circular data by employing the mixture transition distribution modeling. The underlying circular transition distribution is based on Wehrly and Johnson's bivariate joint circular models.
Hiroaki Ogata, Takayuki Shiohama
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Prospective HIV Clinical Trial Comparison by Expected Kullback-Leibler Divergence. [PDF]
Proc Am Control Conf, 2016 Cannon L +3 more
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Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 364-394, March 2026.ABSTRACT Latent Gaussian models (LGMs) are a subset of Bayesian Hierarchical models where Gaussian priors, conditional on variance parameters, are assigned to all effects in the model. LGMs are employed in many fields for their flexibility and computational efficiency. However, practitioners find prior elicitation on the variance parameters challenging
Luisa Ferrari, Massimo Ventrucci
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Kullback-Leibler divergence for detection of rare haplotype common disease association. [PDF]
Eur J Hum Genet, 2015 Lin S.
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