Rapid Bayesian inference for expensive stochastic models by Warne, DJ, Baker, RE, Simpson, MJ

“…In this work, we present new computational Bayesian techniques that accelerate inference for expensive stochastic models by using computationally inexpensive approximations to inform feasible regions in parameter space, and through learning transforms that adjust the biased approximate inferences to closer represent the correct inferences under the expensive stochastic model. …”

A stochastic model for early placental development by Cotter, S, Klika, V, Kimpton, L, Collins, S, Heazell, A

“…We derive and explore a two-dimensional stochastic model for these events, and investigate the effects of loss of spiral arteries in regions near to the cord insertion on the shape of the placenta. …”

Stochastic modelling for network-based GPS positioning by Musa, Tajul A, Wang, Jinling, Rizos, Chris, Satirapod, Chalemchorn

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Three-dimensional stochastic modeling of rock fracture systems by Ivanova, Violeta Mintcheva

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A stochastic modelling approach to multiscale signal processing by Chou, Kenneth C. (Kenneth Chien-ko)

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Multiresolution stochastic models, data fusion, and wavelet transforms

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A dynamic and stochastic model for distribution of empty containers by Chu, Qin

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Stochastic models and data driven simulations for healthcare operations by Anderson, Ross Michael

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Application of the affine stochastic model on Singapore mortality data. by Chia, Fu Yuan., Meng, Deshuo., Zou, Deshun.

“…In recent years, stochastic modeling has become a buzz word in the finance industry and the phenomenal advantages of stochastic models have attracted immense attention from researchers. …”
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Stochastic modeling and methods for portfolio management in cointegrated markets by Angoshtari, B

High-dimensional problems in stochastic modelling of biological processes by Liao, S

“…<p>Stochastic modelling of gene regulatory networks provides an indispensable tool for understanding how random events at the molecular level influence cellular functions. …”

Stochastic model predictive control with discounted probabilistic constraints by Yan, S, Goulart, P, Cannon, MR

Probabilistic tubes in linear stochastic model predictive control by Cannon, M, Kouvaritakis, B, Ng, D

Time-average constraints in stochastic Model Predictive Control by Fleming, J, Cannon, M

The use of generation stochastic models to study an epidemic disease by Chaharborj, Sarkhosh Seddighi, Ismail, Fudziah, Abu Bakar, Mohd Rizam, Chaharborj, Reza Seddighi, Abdul Majid, Zanariah, Ahmad, Abd Ghafur

“…Stochastic models have an important role in modeling and analyzing epidemic diseases for small size population. …”
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Stochastic modelling of the growth of C. Acetobutylicum with missing data by Mohd. Lip, Norliana

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Gompertzian Stochastic Model with Delay Effect to Cervical Cancer Growth by Norhayati, Rosli, Mazma Syahidatul Ayuni, Mazlan, Arifah, Bahar

“…In this paper, a Gompertzian stochastic model with time delay is introduced to describe the cervical cancer growth. …”
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Optimal reservoir operation using stochastic model predictive control by Sahu, Reetik Kumar

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Hierarchical stochastic modeling for multiscale segmentation and compression of SAR imagery by Kim, Andrew J

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Fast stochastic model predictive control under parametric uncertainties by Freiherr von Andrian-Werburg, Matthias.

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