Analysis of a stochastic chemical system close to a sniper bifurcation of its mean field model di Erban, R, Chapman, S, Kevrekidis, I, Vejchodsky, T

“... A framework for the analysis of stochastic models of chemical systems for which the deterministic mean-field description is undergoing a saddle-node infinite period (SNIPER) bifurcation is presented. ...”

Shared autonomy systems with stochastic operator models di Costen, C, Rigter, M, Lacerda, B, Hawes, N

“...Therefore, the system must reason over stochastic models of operator performance. We present a framework for stochastic operators in shared autonomy systems (SO-SAS), where we represent operators using rich, partially observable models. ...”

Modelling genes: Mathematical and statistical challenges in genomics di Donnelly, P

“...In each case, sophisticated mathematical, statistical, and computational tools are needed to unravel much of the information in the data, with many of the best methods combining complex stochastic modelling and modern computationally-intensive statistical methods. ...”

Noise-induced mixing and multimodality in reaction networks di Plesa, T, Erban, R, Othmer, H

“...We analyse a class of chemical reaction networks under mass-action kinetics involving multiple time scales, whose deterministic and stochastic models display qualitative differences. The networks are inspired by gene-regulatory networks and consist of a slow subnetwork, describing conversions among the different gene states, and fast subnetworks, describing biochemical interactions involving the gene products. ...”

Markov models of aging: Theory and practice di Steinsaltz, D, Mohan, G, Kolb, M

“...We suggest some directions for future work, including the exploration of information-theoretic measures for evaluating components of stochastic models as the basis for analyzing experiments and anchoring theoretical discussions of aging. © 2012 Elsevier Inc....”

Fluctuations in T cell receptor and pMHC interactions regulate T cell activation di Egan, JR, Abu-Shah, E, Dushek, O, Elliott, T, MacArthur, BD

“...Here, we introduce a minimal stochastic model of T cell activation that accounts for serial TCR-pMHC engagement, reversible TCR conformational change and TCR aggregation. ...”

Short-term synaptic plasticity, simulation of nerve terminal dynamics, and the effects of protein kinase C activation in rat hippocampus. di Brager, D, Capogna, M, Thompson, S

“...We constructed a stochastic model of the presynaptic contacts between a pair of hippocampal pyramidal cells that used biologically realistic processes and was constrained by electrophysiological data. ...”

Creating Single-Copy Genetic Circuits di Choi, Kyeong Rok, Way, Jeffrey C., Silver, Pamela A., Lee, Jeongwook, Gyoergy, Andras, Cameron, David, Pyenson, Nora, Del Vecchio, Domitilla, Collins, James J.

“...Deterministic and stochastic models led us to focus on basal transcription to optimize circuit performance and helped to explain the resulting circuit robustness across a large range of component expression levels. ...”
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Polling-systems-based Autonomous Vehicle Coordination in Traffic Intersections with No Traffic Signals di Miculescu, David, Karaman, Sertac

“...We propose a coordination control algorithm, assuming stochastic models for the arrival times of the vehicles. ...”
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FracProp: Stochastic Fracture Propagation Model di Abdulla, Mohammad, Sousa, Rita L, Arzuaga, Ignazio, AlDajani, Omar, da Silva, Bruno G, Einstein, Herbert H

“...Abstract This paper presents a geometric, mechanics-based, stochastic model—FracProp—that was developed to predict fracture initiation and propagation in rock. ...”
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FracProp: Stochastic Fracture Propagation Model di Abdulla, Mohammad, Sousa, Rita L, Arzuaga García, Ignacio Martín, AlDajani, Omar AbdulFattah, da Silva, Bruno G, Einstein, Herbert H

“...Abstract This paper presents a geometric, mechanics-based, stochastic model—FracProp—that was developed to predict fracture initiation and propagation in rock. ...”
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Dynamic reconfiguration of terminal airspace during convective weather di Michalek, Diana, Balakrishnan, Hamsa

“...This paper studies the problem of dynamic airspace configuration in the terminal area given a stochastic model of route availability during convective weather conditions. ...”
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Distributed local linear parameter estimation using gaussian SPAWN di Leng, Mei, Tay, Wee Peng, Quek, Tony Q. S., Shin, Hyundong

“...We consider the problem of estimating local sensor parameters, where the local parameters and sensor observations are related through linear stochastic models. We study the Gaussian Sum-Product Algorithm over a Wireless Network (gSPAWN) procedure. ...”
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Prediksi debit aliran musiman berdasarkan pendekatan hidrologi stokastik=Stochastic hydrological approach for predicting seasonal river flow discharge di Perpustakaan UGM, i-lib

“...Therefore, application of modified Markov's lag-1 is valid for stochastic hydrological analysis in term of maintaining Key words : Stochastic model, river flow, predicting...”

Online learning in repeated auctions di Rigolette, Philippe, Weed, Jonathan

“...We adopt an online learning approach with bandit feedback to model this problem and derive bidding strategies for two models: stochastic and adversarial. In the stochastic model, the observed values of the goods are random variables centered around the true value of the good. ...”
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Error Bound for Hill-Function Approximations in a Class of Stochastic Transcriptional Network Models di Hirsch, Dylan, Grunberg, Theodore W., Del Vecchio, Domitilla

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Implementation and modeling of a scheduled Optical Flow Switching (OFS) network di Ganguly, Bishwaroop

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Linear and nonlinear models of heredity for blood groups and rhesus factor di Ganikhodjaev, Nasir, Daoud, Jamal Ibrahim, Usmanova, Makhsuma

“...We consider linear and nonlinear stochastic models for transmission of blood types and Rhesus factor from parents to their offspring and investigate long run behavior of these models. ...”
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Fluctuations in T cell receptor and pMHC interactions regulate T cell activation di Egan, JR, Abu-Shah, E, Dushek, O, Elliott, T, MacArthur, BD

“...Here, we introduce a minimal stochastic model of T cell activation that accounts for serial TCR-pMHC engagement, reversible TCR conformational change and TCR aggregation. ...”

Optimal well placement di Farmer, C, Fowkes, J, Gould, N

“...Note that the case of a Gaussian radial basis function is equivalent to the geostatistical method of Kriging and radial basis functions can be interpreted as a single-layer neural network. We use a stochastic model of the simulator response to adaptively refine the emulator and optimise it using a branch and bound global optimisation algorithm. ...”