Relevant bibliographies by topics / Multimodal Posteriors

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multimodal Posteriors'

Author: Grafiati
Published: 6 September 2023
Last updated: 31 July 2025

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Journal articles on the topic "Multimodal Posteriors"

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Speagle, Joshua S. "dynesty: a dynamic nested sampling package for estimating Bayesian posteriors and evidences." Monthly Notices of the Royal Astronomical Society 493, no. 3 (2020): 3132–58. http://dx.doi.org/10.1093/mnras/staa278.

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ABSTRACT We present dynesty, a public, open-source, python package to estimate Bayesian posteriors and evidences (marginal likelihoods) using the dynamic nested sampling methods developed by Higson et al. By adaptively allocating samples based on posterior structure, dynamic nested sampling has the benefits of Markov chain Monte Carlo (MCMC) algorithms that focus exclusively on posterior estimation while retaining nested sampling’s ability to estimate evidences and sample from complex, multimodal distributions. We provide an overview of nested sampling, its extension to dynamic nested sampling
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Jin, Sheng, Wenxin Jiang, and Dong-Hong Wu. "Automatic Parallel Tempering Markov Chain Monte Carlo with Nii-C." Astrophysical Journal Supplement Series 274, no. 1 (2024): 10. http://dx.doi.org/10.3847/1538-4365/ad6300.

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Abstract Due to the high dimensionality or multimodality that is common in modern astronomy, sampling Bayesian posteriors can be challenging. Several publicly available codes based on different sampling algorithms can solve these complex models, but the execution of the code is not always efficient or fast enough. The article introduces a C language general-purpose code, Nii-C, that implements a framework of automatic parallel tempering Markov Chain Monte Carlo. Automatic in this context means that the parameters that ensure an efficient parallel tempering process can be set by a control syste
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Campante, Tiago L., Tanda Li, J. M. Joel Ong та ін. "Revisiting the Red Giant Branch Hosts KOI-3886 and ι Draconis. Detailed Asteroseismic Modeling and Consolidated Stellar Parameters". Astronomical Journal 165, № 5 (2023): 214. http://dx.doi.org/10.3847/1538-3881/acc9c1.

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Abstract Asteroseismology is playing an increasingly important role in the characterization of red giant host stars and their planetary systems. Here, we conduct detailed asteroseismic modeling of the evolved red giant branch (RGB) hosts KOI-3886 and ι Draconis, making use of end-of-mission Kepler (KOI-3886) and multisector TESS (ι Draconis) time-series photometry. We also model the benchmark star KIC 8410637, a member of an eclipsing binary, thus providing a direct test to the seismic determination. We test the impact of adopting different sets of observed modes as seismic constraints. Inclus
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Karkhaneh, Reza, Ahmad Masoumi, Nazanin Ebrahimiadib, Hormoz Chams, and Mojtaba Abrishami. "Multimodal imaging in posterior microphthalmos." Journal of Current Ophthalmology 31, no. 3 (2019): 335–38. http://dx.doi.org/10.1016/j.joco.2019.01.001.

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Ba, Yuming, Jana de Wiljes, Dean S. Oliver, and Sebastian Reich. "Randomized maximum likelihood based posterior sampling." Computational Geosciences 26, no. 1 (2021): 217–39. http://dx.doi.org/10.1007/s10596-021-10100-y.

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AbstractMinimization of a stochastic cost function is commonly used for approximate sampling in high-dimensional Bayesian inverse problems with Gaussian prior distributions and multimodal posterior distributions. The density of the samples generated by minimization is not the desired target density, unless the observation operator is linear, but the distribution of samples is useful as a proposal density for importance sampling or for Markov chain Monte Carlo methods. In this paper, we focus on applications to sampling from multimodal posterior distributions in high dimensions. We first show t
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Singh, Ramandeep, Uday Tekchandani, Bruttendu Moharana, and Ankur Singh. "Multimodal imaging in a case of posterior microphthalmos." Indian Journal of Ophthalmology - Case Reports 1, no. 3 (2021): 422. http://dx.doi.org/10.4103/ijo.ijo_3474_20.

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Boulter, Daniel J., Marco Luigetti, Zoran Rumboldt, Julio A. Chalela, and Alessandro Cianfoni. "Multimodal CT imaging of a posterior fossa stroke." Neurological Sciences 33, no. 1 (2011): 215–16. http://dx.doi.org/10.1007/s10072-011-0652-y.

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Forte, Raimondo, Florent Aptel, Audrey Feldmann, and Christophe Chiquet. "MULTIMODAL IMAGING OF POSTERIOR POLAR ANNULAR CHOROIDAL DYSTROPHY." Retinal Cases & Brief Reports 12, no. 1 (2018): 29–32. http://dx.doi.org/10.1097/icb.0000000000000400.

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Gill, Jeff, and George Casella. "Dynamic Tempered Transitions for Exploring Multimodal Posterior Distributions." Political Analysis 12, no. 4 (2004): 425–43. http://dx.doi.org/10.1093/pan/mph027.

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Multimodal, high-dimension posterior distributions are well known to cause mixing problems for standard Markov chain Monte Carlo (MCMC) procedures; unfortunately such functional forms readily occur in empirical political science. This is a particularly important problem in applied Bayesian work because inferences are made from finite intervals of the Markov chain path. To address this issue, we develop and apply a new MCMC algorithm based on tempered transitions of simulated annealing, adding a dynamic element that allows the chain to self-tune its annealing schedule in response to current pos
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Inan, Sibel, Elif Ertan, and Umit Ubeyt Inan. "Multimodal imaging in a child with severe posterior scleritis." romanian journal of ophthalmology 63, no. 4 (2019): 397–402. http://dx.doi.org/10.22336/rjo.2019.64.

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Dissertations / Theses on the topic "Multimodal Posteriors"

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Guerrier, Laura. "Substrats cognitifs et neuronaux de l'anosognosie dans la maladie d'Alzheimer typique et atypique : étude en neuropsychologie et imagerie multimodale." Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30190.

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La non-conscience de ses propres symptômes est un phénomène fréquemment retrouvé dans la maladie d'Alzheimer (MA). Ce phénomène appelé anosognosie, principalement reporté dans la forme typique de la MA, implique une absence de conscience de ses propres difficultés cognitives pouvant conduire d'une part, à des situations de mise en danger de la part du patient, et d'autre part, à un retard de diagnostic. L'origine de ce phénomène étant encore débattue, trois études se sont ici portées sur l'étude des substrats cognitifs et neuronaux de ce phénomène dans la forme typique de la maladie d'Alzheime
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Trivedi, Neeta. "Robust, Energy‐efficient Distributed Inference in Wireless Sensor Networks With Applications to Multitarget Tracking." Thesis, 2014. https://etd.iisc.ac.in/handle/2005/4569.

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The Joint Directors of Laboratories (JDL) data fusion model is a functional and comprehensive model for data fusion and inference process and serves as a common frame of reference for fusion technologies and algorithms. However, in distributed data fusion (DDF), since a node fuses the data locally available to it and the data arriving at it from the network, the framework by which the inputs arrive at a node must be part of the DDF problem, more so when the network starts becoming an overwhelming part of the inference process, like in wireless sensor networks (WSN). The current state of th
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Kwan, Teresa. "Role of the posterior parietal cortex in multimodal spatial behaviours." Thesis, 1994. http://hdl.handle.net/2429/5371.

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The posterior parietal cortex (PPC) is a cortical region receiving inputs from different sensory modalities which has been shown to subserve a visuospatial function. The potential contribution of PPC in audiospatial behaviours and recognition of amodal spatial correspondences were postulated and assessed in the present study. Adult male Long- Evans rats received PPC lesions by aspiration, and they were compared to sham operated control rats on three behavioural tasks. In the Morris water maze, the rats had to learn to use the distal visual cues to locate an escape platform hidden in the
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Silva, Rochelle Ann Costa. "A multimodal approach to distinguish MCI-C from MCI-NC subjects." Master's thesis, 2016. http://hdl.handle.net/10451/25807.

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Tese de mestrado integrado em Engenharia Biomédica e Biofísica, apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2016<br>A Doença de Alzheimer (AD, do inglês Alzheimer's Disease) é uma doença neurodegenerativa com crescente prevalência que afecta pessoas com idade mais avançada, habitualmente superior a 65 anos, e constitui entre 60-80% de todos os casos de demência. Provoca uma progressiva degradação dos neurónios e disfunção das sinapses, que constituem a região de ligação entre neurónios. Acredita-se que estas alterações sejam consequentes da acumulação de placas da p
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Books on the topic "Multimodal Posteriors"

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Cheng, Russell. Finite Mixture Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0017.

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Fitting a finite mixture model when the number of components, k, is unknown can be carried out using the maximum likelihood (ML) method though it is non-standard. Two well-known Bayesian Markov chain Monte Carlo (MCMC) methods are reviewed and compared with ML: the reversible jump method and one using an approximating Dirichlet process. Another Bayesian method, to be called MAPIS, is examined that first obtains point estimates for the component parameters by the maximum a posteriori method for different k and then estimates posterior distributions, including that for k, using importance sampli
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Book chapters on the topic "Multimodal Posteriors"

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Afridi, Rubbia, Aniruddha Agarwal, Mohammad Ali Sadiq, et al. "Fundus Autofluorescence Imaging in Posterior Uveitis." In Multimodal Imaging in Uveitis. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-23690-2_5.

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Moriyama, Muka. "Multimodal Imaging of Posterior Staphyloma." In Atlas of Pathologic Myopia. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4261-9_7.

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Ketabdar, Hamed, Hervé Bourlard, and Samy Bengio. "Hierarchical Multi-stream Posterior Based Speech Recognition System." In Machine Learning for Multimodal Interaction. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11677482_26.

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Karafiát, Martin, Frantiśek Grézl, Petr Schwarz, Lukáš Burget, and Jan Černocký. "Robust Heteroscedastic Linear Discriminant Analysis and LCRC Posterior Features in Meeting Data Recognition." In Machine Learning for Multimodal Interaction. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11965152_25.

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Keskin, Fesih. "Nested Sampling: A Case Study in Parameter Estimation." In Bayesian Inference - Recent Trends [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1003926.

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Nested Sampling (NS) is a powerful Bayesian inference algorithm that can be used to estimate parameter posteriors and marginal likelihoods for complex models. It is a sequential algorithm that works by iteratively removing low-likelihood regions of the parameter space while keeping track of the weights of the remaining points. This allows NS to efficiently sample the posterior distribution, even for models with complex and multimodal posteriors. NS has been used to estimate parameters in a wide range of applications, including cosmology, astrophysics, biology, and machine learning. It is parti
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Herbst, Edward P., and Frank Schorfheide. "Sequential Monte Carlo Methods." In Bayesian Estimation of DSGE Models. Princeton University Press, 2015. http://dx.doi.org/10.23943/princeton/9780691161082.003.0005.

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This chapter analyzes Sequential Monte Carlo (SMC) algorithms and how they were initially developed to solve filtering problems that arise in nonlinear state–space models. The first paper that applied SMC techniques to posterior inference in DSGE models is Creal (2007). Herbst and Schorfheide (2014) developed the algorithm further, provided some convergence results for an adaptive version of the algorithm, and showed that a properly tailored SMC algorithm delivers more reliable posterior inference for largescale DSGE models with multimodal posteriors than the widely used RMWHV algorithm. An ad
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Andersen, Richard A. "Multimodal integration for the representation of space in the posterior parietal cortex." In The Hippocampal and Parietal Foundations of Spatial Cognition. Oxford University PressOxford, 1998. http://dx.doi.org/10.1093/oso/9780198524533.003.0005.

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Abstract The posterior parietal cortex and the hippocampus are areas of the brain considered synonymous with spatial cognition. The classic studies of O’ Keefe &amp; Nadel (1978) and their colleagues demonstrated cells in the hippocampus of rats selective for places in the environment. Given the amazing spatial properties of these cells, these authors proposed that the hippocampus con¬ tained a cognitive map of space. Likewise, lesions to the posterior parietal cortex of humans and non-human primates produce severe deficits in spatial perception. Thus the posterior parietal cortex has been con
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de los Santos, Cristian, Lidia Cocho, and José María Herreras. "Multimodal Imaging of White Dot Syndromes." In Eye Diseases - Recent Advances, New Perspectives and Therapeutic Options [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.106467.

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White dot syndromes are an uncommon group of posterior uveitis affecting the outer retina, retinal pigment epithelium, choriocapillaris, and/or choroidal stroma. Multimodal imaging, including fundus fluorescein angiography, indocyanine green angiography, autofluorescence, and optical coherence tomography angiography, has improved our understanding regarding their pathophysiology, helping us to rename or even regroup some of these disorders as one disease in opposition to the historical description. It also provides useful information to evaluate disease activity and monitor response to treatme
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Schetinin, V., and L. Jakaite. "Assessment and Confidence Estimates of Newborn Brain Maturity from Sleep EEG." In E-Health Technologies and Improving Patient Safety: Exploring Organizational Factors. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2657-7.ch014.

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Electroencephalograms (EEGs) recorded from sleeping newborns contain information about their brain maturity. Although these EEGs are very weak and distorted by artifacts, and widely vary during sleep hours as well as between patients, the main maturity-related patterns are recognizable by experts. However, experts are typically incapable of quantitatively providing accurate estimates of confidence in assessments. The most accurate estimates are, in theory, provided with the Bayesian methodology of probabilistic inference which has been practically implemented with Markov Chain Monte Carlo (MCM
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Khadamy, Joobin. "Anterior Segment Optical Coherence Tomography in Uveitis: Current Applications and Future Directions." In Uveitis in the Clinic - Current Approaches and Future Directions in Diagnosis, Treatment, and Patient Care [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1010717.

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Anterior segment optical coherence tomography (AS-OCT) is a non-invasive imaging modality providing high-resolution images of anterior ocular structures, aiding morphological assessments and biomarker identification in uveitis management. This chapter examines AS-OCT’s clinical and investigational roles in uveitis, detailing its utility in detecting subtle corneal changes, keratic precipitate (KP) morphology, anterior chamber cells, and iris structural alterations. AS-OCT facilitates longitudinal monitoring of anterior uveal inflammation, mirroring histopathological changes in vivo. It disting
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Conference papers on the topic "Multimodal Posteriors"

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Meduri, Arnav, Mingyang Zang, Bing X. Ho, et al. "Using artificial intelligence to screen for retinal tears in patients with acute, symptomatic posterior vitreous detachments." In Multimodal Biomedical Imaging XX, edited by Xavier Intes, Marien Ochoa, and Mohammad A. Yaseen. SPIE, 2025. https://doi.org/10.1117/12.3040882.

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Lu, Ting, Monica F. Bugallo, and Petar M. Djuric. "Simplified Marginalized Particle Filtering for Tracking Multimodal Posteriors." In 2007 IEEE/SP 14th Workshop on Statistical Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/ssp.2007.4301261.

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Madhyastha, Pranava Swaroop, Josiah Wang, and Lucia Specia. "Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation." In Proceedings of the Second Conference on Machine Translation. Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/w17-4752.

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Das, Samarjit, and Namrata Vaswani. "Efficient Importance Sampling Techniques for Large Dimensional and Multimodal Posterior Computations." In 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop. IEEE, 2009. http://dx.doi.org/10.1109/dsp.2009.4785934.

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Shen, Bingxin, Monica F. Bugallo, and Petar M. Djuric. "Estimation of multimodal posterior distributions of chirp parameters with population Monte Carlo sampling." In ICASSP 2012 - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2012. http://dx.doi.org/10.1109/icassp.2012.6288760.

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Lee, Bowon, and Kar-Han Tan. "Maximum a posteriori Multimodal 3D Object Localization With a Depth Sensor and Stereo Microphones." In 2nd International ICST Conference on Immersive Telecommunications. ICST, 2009. http://dx.doi.org/10.4108/icst.immerscom2009.6235.

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Das, Abhijit, Umapada Pal, Miguel A. Ferrer, and Michael Blumenstein. "A decision-level fusion strategy for multimodal ocular biometric in visible spectrum based on posterior probability." In 2017 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2017. http://dx.doi.org/10.1109/btas.2017.8272772.

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Zhang, Shumao, Fahim Forouzanfar, and Xiao-Hui Wu. "Stein Variational Gradient Descent for Reservoir History Matching Problems." In SPE Reservoir Simulation Conference. SPE, 2023. http://dx.doi.org/10.2118/212190-ms.

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Abstract Reservoir history matching problem estimates the system (i.e., reservoir morel) parameters based on noisy observed data. Examples can be estimating the permeability and porosity fields from time series of oil, water, and gas production rates. The estimation of parameters is formulated in the form of estimating their probability distributions; it is a required step for reservoir management operation and planning under subsurface uncertainty. The Bayesian framework is commonly used to estimate the posterior distribution of parameters, which may contain multiple modes that correspond to
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Wang, Yiyi, Tammy Ma, Melanie Mason, William Tuten, and Austin Roorda. "Multimodal, longitudinal imaging of laser retinal injury." In ILSC 2023: Proceedings of the International Laser Safety Conference. Laser Institute of AmericaLIA, 2023. http://dx.doi.org/10.2351/7.0001492.

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This case report demonstrates the use of novel imaging techniques with adaptive optics scanning laser ophthalmoscope and adaptive-optics-based psychophysical tests to longitudinally evaluate retinal structure and function following a laser retinal injury after accidental exposure to a 1-watt infrared laser beam. The structural and functional prognosis could be predicted with clinical findings, high-resolution retinal imaging, and visual psychophysical tests. A 23-year-old researcher was unwittingly exposed to a 1-watt, 852 nm continuous-wave laser at work as a small central blurry spot in the
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Zhao, Guoxiang, Hongjun Lu, Yin Qi, et al. "An Efficient Complex Fracture Network Inversion Method Through Adaptative Particle Filter Based on Quadratic Programming for 3D Shale Oil Reservoir." In 58th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2024. http://dx.doi.org/10.56952/arma-2024-0637.

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ABSTRACT: Volume fracturing is an important means to achieve efficient development of shale reservoirs. However, the complexity of the seepage process in shale oil reservoirs due to the distribution characteristics of fracture networks makes the fracture network and reservoir parameter characterization significantly a non-linearity and non-Gaussianity problem. This limits the application of traditional automatic history matching methods. In order to balance the computational efficiency and inversion accuracy, an efficient and high-precision complex fracture network inversion method that can sa
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Reports on the topic "Multimodal Posteriors"

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Madsen, Jens, Nikhil Kuppa, and Lucas Parra. The Brain, Body, and Behaviour Dataset - Neural Engineering Lab, CCNY. Fcp-indi, 2025. https://doi.org/10.15387/fcp_indi.retro.bbbd.

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When humans engage with video, their brain and body interact in response to sensory input. To investigate these interactions, we recorded and are releasing a dataset from N=178 participants across five experiments featuring short online educational videos. This dataset comprises approximately 110 hours of multimodal data including electrocardiogram (ECG), heart rate, respiration, breathing rate, pupil size, electrooculogram (EOG), gaze position, saccades, blinks, fixations, head movement, and electroencephalogram (EEG). Participants viewed 3-6 videos (mean total duration: 28±5 min) to test att
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Bisang, Roberto, Jeremías Lachman, Andrés López, Martin Pereyra, and Ezequiel Tacsir. Reinserción internacional y apertura de nuevos mercados de la cadena bovina en Argentina y Uruguay: nuevas formas de institucionalidad y esquemas de cooperación público-privados. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004102.

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La carne bovina ocupó un rol icónico en el comercio exterior argentino y uruguayo hasta los años 70 cuando diversas restricciones en los mercados externos afectaron severamente los flujos comerciados. En décadas posteriores ambos países establecieron diversas políticas productivas, tecnológicas y comerciales- para mejorar su competitividad y reinsertarse en los ahora renovados- mercados internacionales. En las últimas décadas se afianzaron otros países exportadores de carnes EEUU, Brasil, Paraguay, Australia- a la vez que se reconfiguraron los perfiles de los compradores (los mercados de comun
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