A simulation-based approach to statistical alignment by Levy Karin, E, Ashkenazy, H, Hein, J, Pupko, T

“…In contrast, alignments based on stochastic models aim to explicitly describe the evolutionary dynamics of sequences by inferring relevant probabilistic parameters from input sequences. …”

Generation of a stochastic precipitation model for the tropical climate by Ng, Jing Lin, Abd Aziz, Samsuzana, Huang, Yuk Feng, Wayayok, Aimrun, Kamal, Md Rowshon

“…A tropical country like Malaysia is characterized by intense localized precipitation with temperatures remaining relatively constant throughout the year. A stochastic modeling of precipitation in the flood-prone Kelantan River Basin is particularly challenging due to the high intermittency of precipitation events of the northeast monsoons. …”
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Fueling an Energy Transition: Designing an Optimal Portfolio of Competing Fuels Under Uncertainty by Abel, Samuel A.

“… (2) Incorporating stochastic modeling is also required for firms. We show that deterministic models lead to sub-optimal capacity investment decisions and increasing profit regret as the uncertainty range increases. …”
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Traffic prediction and navigation using historical and current information by Lim, Sejoon

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Stochastic motion planning and applications to traffic by Lim, Sejoon, Balakrishnan, Hari, Gifford, David K., Madden, Samuel R., Rus, Daniela L.

“…The algorithm copes with the uncertainty of road traffic conditions by stochastic modeling of travel delay on road networks. The algorithm determines paths between two points that optimize a cost function of the delay probability distribution. …”
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Stochastic network link transmission model by Flotterod, Gunnar, Osorio Pizano, Carolina

“…This article considers the stochastic modeling of vehicular network flows, including the analytical approximation of joint queue-length distributions. …”
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Anomalous transport in disordered fracture networks: Spatial Markov model for dispersion with variable injection modes by Kang, Peter Kyungchul, Dentz, Marco, Le Borgne, Tanguy, Lee, Seunghak, Juanes, Ruben

“…Keywords: Discrete fracture networks; Injection modes; Anomalous transport; Stochastic modeling; Lagrangian velocity; Time domain random walks; Continuous time random walks; Spatial Markov model…”
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Risk Assessment and Optimal Response Strategies for Resilience of Electric Power Infrastructure to Extreme Weather by Chang, Hao-Yu Derek

“…This thesis develops a stochastic modeling and decision-making framework for proactive resource allocation and response strategies to improve the resilience of electric power infrastructure in the wake of severe weather events. …”
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Internal multiscale autoregressive processes, stochastic realization, and covariance extension by Frakt, Austin B. (Austin Berk)

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Semi-supervised domain generalization with stochastic styleMatch by Zhou, Kaiyang, Loy, Chen Change, Liu, Ziwei

“…We propose StyleMatch, a simple approach that extends FixMatch with a couple of new ingredients tailored for SSDG: (1) stochastic modeling for reducing overfitting in scarce labels, and (2) multi-view consistency learning for enhancing domain generalization. …”
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Integration of plug-in electric vehicles into power grid by Nima Harsamizadeh Tehrani

“…In this study, stochastic modeling has been presented to estimate the system-wide PEV charging load within domestic grids. …”
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Feedbacks between plants, flow, and particle fate by Follett, Elizabeth (Elizabeth Marie)

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Large-scale Models of Transient Unsaturated Flow and Contaminant Transport Using Stochastic Methods by Mantoglou, Aristotelis, Gelhar, Lynn W.

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Optimization of Financial Indicators in Shale-Gas Wells Combining Numerical Decline Curve Analysis and Economic Data Analysis by Soage, Andres, Juanes, Ruben, Colominas, Ignasi, Cueto-Felgueroso, Luis

“…We present a methodology to determine optimal financial parameters in shale-gas production, combining numerical simulation of decline curves and stochastic modeling of the gas price. The mathematical model of gas production considers free gas in the pore and the gas adsorbed in kerogen. …”
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A Stochastically Geometrical Poisson Point Process Approach for the Future 5G D2D Enabled Cooperative Cellular Network by Qamar, Faizan, Dimyati, Kaharudin, Hindia, Mhd Nour, Noordin, Kamarul Ariffin, Amiri, Iraj Sadegh

“…Therefore, the stochastic-geometry-based Poisson point process (PPP) technique can be implemented to accurately analyze these random processes in device-to-device (D2D)-based cooperative cellular networks. The stochastic modeling entails the consideration of transmitters and receivers as the elements of stochastic point processes. …”

Quantitative measurements of cerebral hemodynamics using magnetic resonance imaging by Mehndiratta, A

“…Other methods, including model-based approaches or methods based on likelihood estimation, stochastic modeling and Gaussian processes, have been proposed. …”

A systems framework and modeling approach to predict and manage the mental health effects of a military conflict by Fingerhut, Henry Alan

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Algorithms for large-scale personalization by Li, Andrew A. (Andrew Andi)

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Strategies for aluminum recycling : insights from material system optimization by Li, Preston Pui-Chuen

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Sto(ry)chastics : a Bayesian network architecture for combined user modeling, sensor fusion, and computational storytelling for interactive spaces by Sparacino, Flavia, 1965-

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