Probability and Random Processes.

Spatio-Temporal Hawkes Point Processes: A Review

Bernabeu, A., Zhuang, J., & Mateu, J. (2024) · Journal of Agricultural Biological and Environmental Statistics · doi:10.1007/s13253-024-00653-7 · Cited by 14

Capacity Region of Gaussian Multiple-Access Channels With Energy Harvesting and Energy Cooperation

Dong, Y., Chen, Z., & Fan, P. (2017) · IEEE Access · doi:10.1109/access.2017.2665468 · Cited by 14

The scope of the Kalman filter for spatio‐temporal applications in environmental science

Rougier, J., Brady, A., Bamber, J. L., et al. (2022) · Environmetrics · doi:10.1002/env.2773 · Cited by 14

Electromagnetic Effective-Degree-of-Freedom Prediction With Parabolic Equation Method

Shen, Y.-S., He, Z., Sha, W. E. I., et al. (2023) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2022.3233487 · Cited by 14

Multi-objective deep reinforcement learning for a water heating system with solar energy and heat recovery

Riebel, A., Cardemil, J. M., & López, E. (2024) · Energy · doi:10.1016/j.energy.2024.130296 · Cited by 17

Adaptive coarse-graining for transient and quasi-equilibrium analyses of stochastic gene regulation

Tapia, J. J., Faeder, J. R., & Munsky, B. E. (2012) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2012.6425828 · Cited by 13

Efficient exploration of discrete energy landscapes

Mann, M., & Klemm, K. (2011) · Physical Review E · doi:10.1103/physreve.83.011113 · Cited by 14

Generalized Statistics of Antenna Efficiency Measurement in a Reverberation Chamber

Chen, X. (2014) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2013.2295420 · Cited by 14

k Workers in a Circular Warehouse: A Random Walk on a Circle, without Passing

Skufca, J. D. (2005) · SIAM Review · doi:10.1137/s0036144503432011 · Cited by 14

TheMusical Avatar

Haro, M., Xambó, A., Fuhrmann, F., et al. (2010) · doi:10.1145/1859799.1859813 · Cited by 14

Volley: Violation Likelihood Based State Monitoring for Datacenters

Meng, S., Iyengar, A. K., Rouvellou, I. M., et al. (2013) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2013.61 · Cited by 14

Residence times of a Brownian particle with temporal heterogeneity

Bressloff, P. C., & Lawley, S. D. (2017) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/aa692a · Cited by 14

Likely chirality of stochastic anisotropic hyperelastic tubes

Mihai, L. A., Woolley, T. E., & Goriely, A. (2019) · International Journal of Non-Linear Mechanics · doi:10.1016/j.ijnonlinmec.2019.04.004 · Cited by 14

Reachable Space Characterization of Markov Decision Processes with Time Variability

Xu, J., Yin, K., & Liu, L. (2019) · doi:10.15607/rss.2019.xv.069 · Cited by 11

Regeneration-enriched Markov processes with application to Monte Carlo

Wang, A. Q., Pollock, M., Roberts, G. O., et al. (2021) · The Annals of Applied Probability · doi:10.1214/20-aap1602 · Cited by 14

Detecting Deception Attacks on Autonomous Vehicles via Linear Time-Varying Dynamic Watermarking

Porter, M., Dey, S., Joshi, A., Hespanhol, P., Aswani, A. J., Johnson‐Roberson, M., & Vasudevan, R. (2020) · IEEE Conference on Control Technology and Applications (CCTA) · doi:10.1109/ccta41146.2020.9206278 · Cited by 16

Statistical Analysis of Antenna Efficiency Measurements With Non-Reference Antenna Methods in a Reverberation Chamber

Xue, W., Chen, X., Zhang, M., et al. (2020) · IEEE Access · doi:10.1109/access.2020.3003530 · Cited by 14

Strategic Open Routing in Service Networks

Arlotto, A., Frazelle, A. E., & Wei, Y. (2018) · Management Science · doi:10.1287/mnsc.2017.2971 · Cited by 14

Evaluating Tissue Mechanical Properties Using Quantitative Mueller Matrix Polarimetry and Neural Network

Mi, C., Shao, C., He, H., et al. (2022) · Applied Sciences · doi:10.3390/app12199774 · Cited by 14

Scalarization of Type-1 Fuzzy Markov Chains

Kalenatic, D., Figueroa–García, J. C., & López, C. A. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-14922-1_15 · Cited by 14

A Normal-Distribution Based Reputation Model

Abdel‐Hafez, A., Xu, Y., & Jøsang, A. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-09770-1_13 · Cited by 14

Qualitative properties of $\alpha$-fair policies in bandwidth-sharing networks

Shah, D., Tsitsiklis, J. N., & Zhong, Y. (2014) · The Annals of Applied Probability · doi:10.1214/12-aap915 · Cited by 14

Two complementary perspectives on inter-individual genetic distance

Tal, O. (2012) · Biosystems · doi:10.1016/j.biosystems.2012.07.005 · Cited by 14

Affinity and Fluctuations in a Mesoscopic Noria

Bauer, M., & Cornu, F. (2014) · Journal of Statistical Physics · doi:10.1007/s10955-014-0969-z · Cited by 14

Compact Quantum Random Number Generator with Silicon Nanocrystals Light Emitting Device Coupled to a Silicon Photomultiplier

Bisadi, Z., Acerbi, F., Fontana, G., et al. (2018) · Frontiers in Physics · doi:10.3389/fphy.2018.00009 · Cited by 14

Dependence between cognitive impairment and metabolic syndrome applied to a Brazilian elderly dataset

Gross, T. J., Araújo, R. B., Vale, F. A. C., Bessani, M., & Maciel, C. D. (2018) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2018.07.003 · Cited by 14

Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks

Νικολακόπουλος, Α. Ν., & Karypis, G. (2020) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/3406241 · Cited by 14

Fast simulation of facilitated spin models

Ashton, D. J., Hedges, L. O., & Garrahan, J. P. (2005) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2005/12/p12010 · Cited by 14

Google PageRank as mean playing time for pinball on the reverse web

Higham, D. J. (2005) · Applied Mathematics Letters · doi:10.1016/j.aml.2005.02.020 · Cited by 14

Unidentifiable divergence times in rates-across-sites models

Evans, S. N., & Warnow, T. J. (2004) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2004.34 · Cited by 14

Particle filters for continuous-time jump models in tracking applications

Godsill, S. (2007) · ESAIM Proceedings · doi:10.1051/proc:071907 · Cited by 14

On the Mean Distance in Scale Free Graphs

Hooghiemstra, G., & Mieghem, P. V. (2005) · Methodology And Computing In Applied Probability · doi:10.1007/s11009-005-4518-8 · Cited by 14

Data Discovery and Anomaly Detection Using Atypicality: Theory

Høst-Madsen, A., Sabeti, E., & Walton, C. B. (2019) · IEEE Transactions on Information Theory · doi:10.1109/tit.2019.2917669 · Cited by 14

The survival probability for critical spread-out oriented percolation above 4 + 1 dimensions. I. Induction

van der Hofstad, R., den Hollander, F., & Slade, G. (2006) · Probability Theory and Related Fields · doi:10.1007/s00440-006-0028-z · Cited by 14

A unified framework for statistical timing analysis with coupling and multiple input switching

Sinha, D., & Zhou, H. M. (2005) · International Conference on Computer Aided Design · doi:10.1109/iccad.2005.1560179 · Cited by 14

Performance of ds-cdma systems with optimal hard-decision parallel interference cancellation

van der Hofstad, R., & Klok, M. J. (2003) · IEEE Transactions on Information Theory · doi:10.1109/tit.2003.818413 · Cited by 14

Power System Adaptive State Estimation in Unknown Measurement Environment

Cheng, G., & Lin, Y. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3403203 · Cited by 13

On the eigenvalue effective size of structured populations

Hössjer, O. (2014) · Journal of Mathematical Biology · doi:10.1007/s00285-014-0832-5 · Cited by 13

Setting defect charts control limits to balance cycle time and yield for a tandem production line

Gilenson, M., Hassoun, M., & Yedidsion, L. (2014) · Computers & Operations Research · doi:10.1016/j.cor.2014.05.011 · Cited by 13

Statistical-fluctuation analysis for quantum key distribution with consideration of after-pulse contributions

Li, H., Jiang, H., Gao, M., et al. (2015) · Physical Review A · doi:10.1103/physreva.92.062344 · Cited by 13

Connective constants and height functions for Cayley graphs

Grimmett, G., & Li, Z. (2017) · Transactions of the American Mathematical Society · doi:10.1090/tran/7166 · Cited by 13

Multi-Robot Target Search using Probabilistic Consensus on Discrete Markov Chains

Shirsat, A., Elamvazhuthi, K., & Berman, S. (2020) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr50563.2020.9292589 · Cited by 12

Seed banks alter the molecular evolutionary dynamics of Bacillus subtilis

Shoemaker, W. R., Polezhaeva, E., Givens, K. B., et al. (2022) · Genetics · doi:10.1093/genetics/iyac071 · Cited by 13

Stochastic Apportionment

Grimmett, G. (2004) · American Mathematical Monthly · doi:10.1080/00029890.2004.11920078 · Cited by 13

A unified model for context-based behavioural modelling and classification

Dabrowski, J. J., & de Villiers, J. P. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.04.061 · Cited by 13

Optimal Control of a Partially Observable Failing System with Costly Multivariate Observations

Kim, M. J., & Makiš, V. (2012) · Stochastic Models · doi:10.1080/15326349.2012.726039 · Cited by 13

Measuring absolute nanoparticle number concentrations from particle count time series

Röding, M., Deschout, H. G., Braeckmans, K., et al. (2013) · Journal of Microscopy · doi:10.1111/jmi.12038 · Cited by 13

Longest interval between zeros of the tied-down random walk, the Brownian bridge and related renewal processes

Godrèche, C. (2017) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/aa6a6e · Cited by 13

A Load Sequence Design Method for Hydraulic Piston Pump Based on Time-Related Markov Matrix

Ma, Z., Wang, S., Zhang, C., et al. (2018) · IEEE Transactions on Reliability · doi:10.1109/tr.2018.2830330 · Cited by 13

Spectral Unmixing With Perturbed Endmembers

Arablouei, R. (2018) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2018.2852745 · Cited by 13

Asynchronous Stochastic Gradient Descent Over Decentralized Datasets

Du, Y., & You, K. (2021) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2021.3059848 · Cited by 14

ARE: Augmented Reality Environment for Mobile Robots

Gianni, M., Ferri, F., & Pirri, F. (2014) · Lecture notes in computer science · doi:10.1007/978-3-662-43645-5_48 · Cited by 13

Exact stability analysis of discrete-time linear systems with stochastic delays

Gomez, M. M., Qin, W. B., Orosz, G., et al. (2014) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2014.6859470 · Cited by 13

A note on minimum-variance theory and beyond

Feng, J., Tartaglia, G. G., & Tirozzi, B. (2004) · Journal of Physics A Mathematical and General · doi:10.1088/0305-4470/37/17/001 · Cited by 13

Time-weighted web authoritative ranking

Manaskasemsak, B., Rungsawang, A., & Yamana, H. (2010) · Information Retrieval · doi:10.1007/s10791-010-9138-4 · Cited by 13

Behavioral and neural responses to gustatory stimuli delivered non-contingently through intra-oral cannulas

Soares, E. S., Stapleton, J. R., Rodríguez, A., Fitzsimmons, N. A., Oliveira, L., Nicolelis, M. A. L., & Simon, S. A. (2007) · Physiology & Behavior · doi:10.1016/j.physbeh.2007.05.038 · Cited by 13

Fixed-point-free elements of iterated monodromy groups

Jones, R. (2014) · Transactions of the American Mathematical Society · doi:10.1090/s0002-9947-2014-06347-2 · Cited by 13

Toxicity‐evaluation designs for phase I/II cancer immunotherapy trials

Messer, K. S., Natarajan, L., Ball, E. D., et al. (2010) · Statistics in Medicine · doi:10.1002/sim.3799 · Cited by 13

Missing Data Imputation in Time Series by Evolutionary Algorithms

Figueroa–García, J. C., Kalenatic, D., & Bello, C. A. L. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85984-0_34 · Cited by 13

Probability calculations for three-part mineral resource assessments

Ellefsen, K. J. (2017) · Techniques and methods · doi:10.3133/tm7c15 · Cited by 13

Stochastic MPC with Dynamic Feedback Gain Selection and Discounted Probabilistic ConstraintsPreprint

Yan, S., Goulart, P. J., & Cannon, M. (2020) · arXiv (Cornell University) · doi:10.1109/tac.2021.3128466 · Cited by 13

Einstein–Podolsky–Rosen–Bohm experiments: A discrete data driven approach

Raedt, H. A. D., Katsnelson, M. I., Jattana, M. S., Mehta, V., Willsch, M., Willsch, D., Michielsen, K. F. L., & Jin, F. (2023) · Annals of Physics · doi:10.1016/j.aop.2023.169314 · Cited by 12

Assessing replicability with the sceptical p$$ p $$‐value: Type‐I error control and sample size planning

Micheloud, C., Balabdaoui, F., & Held, L. (2023) · Statistica Neerlandica · doi:10.1111/stan.12312 · Cited by 23

Causal Recursive Parameter Estimation for Discrete-Time Hidden Bivariate Markov Chains

Ephraim, Y., & Mark, B. L. (2015) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2015.2408557 · Cited by 12

Tunguska dark matter ball

Froggatt, C. D., & Nielsen, H. B. (2015) · International Journal of Modern Physics A · doi:10.1142/s0217751x15500669 · Cited by 20

Classification with label noise: a Markov chain sampling framework

Zhao, Z., Chu, L., Tao, D., et al. (2018) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-018-0592-8 · Cited by 12

A Monte Carlo Method to Quantify the Effect of Reactor Residence Time Distribution on Polyolefins Made with Heterogeneous Catalysts: Part III—Particle Composition Distribution Effects

Liu, B., Romero, J., Liu, B., et al. (2018) · Macromolecular Reaction Engineering · doi:10.1002/mren.201800051 · Cited by 12

Differential equation approximations of stochastic network processes: An operator semigroup approach

Bátkai, A., Kiss, I. Z., Sikolya, E., et al. (2012) · ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University) · doi:10.3934/nhm.2012.7.43 · Cited by 12

Analysis of single channel electroencephalographic signals for visual creativity: A pilot study

Gopika Gopan, K., Reddy, S. V. R. A., Rao, M., & Sinha, N. (2022) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2022.103542 · Cited by 12

Vector Aitken extrapolation method for multilinear PageRank computations

Boubekraoui, M., Bentbib, A. H., & Jbilou, K. (2022) · Journal of Applied Mathematics and Computing · doi:10.1007/s12190-022-01786-z · Cited by 12

A DTN packet forwarding scheme inspired by thermodynamics

Kalantari, M., & La, R. J. (2008) · Conference on Information Sciences and Systems · doi:10.1109/ciss.2008.4558704 · Cited by 12

Coverage statistics for sequence census methods

Evans, S. N., Hower, V., & Pachter, L. S. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-430 · Cited by 11

An empirical approach to compare the performance of heterogeneous academic fields

Ruocco, G., & Daraio, C. C. (2013) · Scientometrics · doi:10.1007/s11192-013-1038-0 · Cited by 12

Design and analysis of a model-based Covert Timing Channel for Skype traffic

Archibald, R., & Ghosal, D. (2015) · IEEE Conference on Communications and Network Security · doi:10.1109/cns.2015.7346833 · Cited by 12

Physical-layer security over correlated erasure channels

Harrison, W. K., Almeida, J., McLaughlin, S., et al. (2012) · International Conference on Communications · doi:10.1109/icc.2012.6363737 · Cited by 12

Reynolds Number Dependence of the Structure Functions in Homogeneous Turbulence

Kaminsky, J., Birnir, B., Bewley, G. P., et al. (2020) · Journal of Nonlinear Science · doi:10.1007/s00332-019-09602-y · Cited by 12

Can Warren Buffett forecast equity market corrections?

Lleo, S., & Ziemba, W. T. (2018) · European Journal of Finance · doi:10.1080/1351847x.2018.1521859 · Cited by 12

Optimal Causal Rate-Constrained Sampling of the Wiener Process

Guo, N., & Kostina, V. (2021) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2021.3071953 · Cited by 12

The Spread of COVID-19 in London: Network Effects and Optimal Lockdowns

Julliard, C., Shi, R., & Yuan, K. Z. (2020) · Journal of Econometrics · doi:10.1016/j.jeconom.2023.02.012 · Cited by 13

Equilibrium control policies for Markov chains

Malikopoulos, A. A. (2011) · doi:10.1109/cdc.2011.6160871 · Cited by 12

A novel classification scheme for 802.11 WLAN active attacking traffic patterns

Zhou, W., Marshall, A., & Gu, Q. (2006) · doi:10.1109/wcnc.2006.1683541 · Cited by 12

Stability likelihood of coalitions in a two-stage cartel game: An estimation method

Olieman, N. J., & Hendrix, E. M. T. (2005) · European Journal of Operational Research · doi:10.1016/j.ejor.2005.01.040 · Cited by 12

Security risk analysis and evaluation

Harmantzis, F., & Malek, M. (2004) · International Conference on Communications · doi:10.1109/icc.2004.1312850 · Cited by 12

Maximum Likelihood Estimator Under a Misspecified Model With High Signal-to-Noise Ratio

Ding, Q., & Kay, S. (2011) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2011.2150220 · Cited by 12

Market Split and Basis Reduction: Towards a Solution of the Cornuéjols-Dawande Instances

Aardal, K., Bixby, R. E., Hurkens, C. A. J., et al. (1999) · Lecture notes in computer science · doi:10.1007/3-540-48777-8_1 · Cited by 12

Characterization of Ergodic Hidden Markov Sources

Schönhuth, A., & Jaeger, H. (2009) · IEEE Transactions on Information Theory · doi:10.1109/tit.2009.2016041 · Cited by 11

Finding probably best systems quickly via simulations

Osogami, T. (2009) · ACM Transactions on Modeling and Computer Simulation · doi:10.1145/1540530.1540533 · Cited by 12

Economics of NFTs: The Value of Creator RoyaltiesPreprint

Hemenway, B., Gu, B., Tsoukalas, G., & Zhang, N. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4284776 · Cited by 18

A new coherent multivariate average-value-at-risk

Uğurlu, K. (2021) · Optimization · doi:10.1080/02331934.2021.1970755 · Cited by 11

Adaptive graph-based feature normalization for facial expression recognition

Xiong, Y.-J., Wang, Q., Du, Y., & Lu, Y. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.107623 · Cited by 12

Quantum frustration of dissipation by a spin bath

Rao, D. D. B., Kohler, H., & Sols, F. (2008) · New Journal of Physics · doi:10.1088/1367-2630/10/11/115017 · Cited by 11

On the Distribution of Detection Delay for Quickest Spectrum Sensing

Hanafi, E., Martin, P. A., Smith, P. J., et al. (2015) · IEEE Transactions on Communications · doi:10.1109/tcomm.2015.2508807 · Cited by 11

Modeling of free fatty acid dynamics: insulin and nicotinic acid resistance under acute and chronic treatments

Andersson, R. A., Kroon, T., Almquist, J. O., Jirstrand, M., Oakes, N. D., Evans, N. D., Chappel, M. J., & Gabrielsson, J. (2017) · Journal of Pharmacokinetics and Pharmacodynamics · doi:10.1007/s10928-017-9512-6 · Cited by 11

A general multi-splitting iteration method for computing PageRank

Tian, M., Zhang, Y., Wang, Y., et al. (2019) · Computational and Applied Mathematics · doi:10.1007/s40314-019-0830-8 · Cited by 11

Reliability Metrics for Generation Planning and the Role of Regulation in the Energy Transition: Case Studies of Brazil and Mexico

Werlang, A., Cunha, G., Bastos, J. B. V., et al. (2021) · Energies · doi:10.3390/en14217428 · Cited by 11

Analysis of VIX-linked fee incentives in variable annuities via continuous-time Markov chain approximation

MacKay, A., Vachon, M.-C., & Cui, Z. (2023) · Quantitative Finance · doi:10.1080/14697688.2023.2215278 · Cited by 11

A Simulation Study on Fuzzy Markov Chains

Figueroa–García, J. C., Kalenatic, D., & Bello, C. A. L. (2008) · Communications in computer and information science · doi:10.1007/978-3-540-85930-7_15 · Cited by 11

On a link between a species survival time in an evolution model and the Bessel distributions

Guiol, H., Machado, F. P., & Schinazi, R. B. (2013) · Brazilian Journal of Probability and Statistics · doi:10.1214/11-bjps167 · Cited by 11

Improving diversity in Web search results re-ranking using absorbing random walks

Lin, G., Peng, H., Ma, Q., et al. (2010) · International Conference on Machine Learning and Cybernetics · doi:10.1109/icmlc.2010.5580733 · Cited by 11

Information theory for atypical sequences

Høst-Madsen, A., Sabeti, E., & Walton, C. B. (2013) · IEEE Information Theory Workshop (ITW) · doi:10.1109/itw.2013.6691276 · Cited by 11

On Inter-using of Probability Theory and Mathematical Analysis in Solving the Problem

Liu, M. (2006)

The Design of Review about the Course "Probability Theory"

He, J. (2009) · Journal of Mudanjiang College of Education

Genesis and Development and Applications of Theory of Probability

Xu, H. M. (2001) · Journal of Liaoning Institute of Technology On Social Science

Applications of probability and statistical theory

Edgeworth, F. Y., & McCann, C. R. (1996) · Medical Entomology and Zoology

Some Thoughts about Application of Concept Maps in Teaching Probability Theory and Mathematical Statistics

Jie, Z. (2007) · Journal on Mathematics Education · Cited by 1