Time Series Analysis: Forecasting and Control

Using Wearables and Machine Learning to Enable Personalized Lifestyle Recommendations to Improve Blood Pressure

Chiang, P.-H., Wong, M., & Dey, S. (2021) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2021.3098173 · Cited by 64

The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing and modeling time lags in intensive longitudinal data

Jacobson, N. C., Chow, S.-M., & Newman, M. G. (2019) · Behavior Research Methods · doi:10.3758/s13428-018-1101-0 · Cited by 63

Resource and Deadline-Aware Job Scheduling in Dynamic Hadoop Clusters

Cheng, D., Rao, J., Jiang, C., & Zhou, X. (2015) · 2015 IEEE International Parallel and Distributed Processing Symposium · doi:10.1109/ipdps.2015.36 · Cited by 61

GNAR-GARCH model and its application in feature extraction for rolling bearing fault diagnosis

Ma, J., Xu, F., Huang, K., & Huang, R. (2017) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2017.01.043 · Cited by 59

An Exploratory Study of Trust Dynamics in Work-Oriented Virtual Teams

Kuo, F.-Y., & Yu, C.-P. (2009) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2009.01472.x · Cited by 60

Application of support vector regression for modeling low flow time series

Sahoo, B. B., Jha, R., Singh, A., & Kumar, D. (2019) · KSCE Journal of Civil Engineering · doi:10.1007/s12205-018-0128-1 · Cited by 56

A hybrid probabilistic fuzzy ARIMA model for consumption forecasting in commodity markets

Torbat, S., Khashei, M., & Bijari, M. (2018) · Economic Analysis and Policy · doi:10.1016/j.eap.2017.12.003 · Cited by 56

Fuzzy adaptive decision-making for boundedly rational traders in speculative stock markets

Bekiros, S. D. (2010) · European Journal of Operational Research · doi:10.1016/j.ejor.2009.04.015 · Cited by 53

Self-monitoring with panic and anxiety disorders.

Craske, M. G., & Tsao, J. C. I. (1999) · Psychological Assessment · doi:10.1037//1040-3590.11.4.466 · Cited by 54

On geocasting over urban bus-based networks by mining trajectories

Zhang, F., Jin, B., Wang, Z., Liu, H., Hu, J., & Zhang, L. (2016) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2015.2504513 · Cited by 53

Age differences in dynamical emotion-cognition linkages

Chow, S.-M., Hamagani, F., & Nesselroade, J. R. (2007) · Psychology and Aging · doi:10.1037/0882-7974.22.4.765 · Cited by 53

Population drinking and liver cirrhosis mortality: is there a link in eastern Europe?

Ramstedt, M. (2007) · Addiction · doi:10.1111/j.1360-0443.2007.01872.x · Cited by 51

Cerebral blood flow velocity declines before arterial pressure in patients with orthostatic vasovagal presyncope

Dan, D., Hoag, J. B., Ellenbogen, K. A., Wood, M. A., Eckberg, D. L., & Gilligan, D. M. (2002) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(02)01719-9 · Cited by 50

Forecasting occurrences of activities

Minor, B., & Cook, D. J. (2017) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2016.09.010 · Cited by 45

Conservation of harvested populations in fluctuating environments - the case of the serengeti wildebeest.

Pascual, M. A., & Hilborn, R. (1995) · The Journal of Applied Ecology · doi:10.2307/2404645 · Cited by 41

Beverage-Specific Alcohol Sale and Suicide in Russia

Razvodovsky, Y. E. (2009) · Crisis · doi:10.1027/0227-5910.30.4.186 · Cited by 41

Single-case experimental research designs.

Kazdin, A. E. (2015) · Methodological issues and strategies in clinical research (4th ed.). · doi:10.1037/14805-029 · Cited by 39

A comparative simulation study of AR(1) estimators in short time series

Krone, T., Albers, C. J., & Timmerman, M. E. (2017) · Quality & Quantity · doi:10.1007/s11135-015-0290-1 · Cited by 39

Forecasting for cruise line revenue management

Sun, X., Gauri, D. K., & Webster, S. (2011) · Journal of Revenue and Pricing Management · doi:10.1057/rpm.2009.55 · Cited by 39

Phytoplankton and nutrient dynamics in a tidally dominated eutrophic estuary: daily variability and controls on bloom formation.

Morse, R., Mulholland, M., Egerton, T., & Marshall, H. (2014) · Marine Ecology Progress Series · doi:10.3354/meps10743 · Cited by 38

Efficacy of cognitive behavioral therapy for insomnia comorbid to Parkinson's disease: A focus on psychological and daytime functioning with a single‐case design with multiple baselines

Lebrun, C., Gély‐Nargeot, M., Rossignol, A., Geny, C., & Bayard, S. (2020) · Journal of Clinical Psychology · doi:10.1002/jclp.22883 · Cited by 32

Acceptance and commitment therapy for individuals with depressive and anxiety symptoms following acquired brain injury: A non-concurrent multiple baseline design across four cases.

Rauwenhoff, J. C. C., Bol, Y., Peeters, F., van den Hout, A. J. H. C., Geusgens, C. A. V., & van Heugten, C. M. (2023) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2022.2053169 · Cited by 31

City-County Government and Promises of Economic Development: A Tale of Two Cities

Carr, J. B., Bae, S.-S., & Lu, W. (2006) · State and Local Government Review · doi:10.1177/0160323x0603800301 · Cited by 30

Relationship of precipitation, freshwater input, and sea level height with the abundance of the white shrimp (Litopenaeus occidentalis; Street, 1871) off Buenaventura, eastern tropical Pacific

Díaz-Ochoa, J. A., & Quiñones, R. A. (2008) · Fisheries Research · doi:10.1016/j.fishres.2008.01.002 · Cited by 26

Self‐Priming in Production: Evidence for a Hybrid Model of Syntactic Priming

Jacobs, C. L., Cho, S., & Watson, D. G. (2019) · Cognitive Science · doi:10.1111/cogs.12749 · Cited by 24

Public pension institutions and old‐age mortality in a comparative perspective

Norström, T., & Palme, J. (2010) · International Journal of Social Welfare · doi:10.1111/j.1468-2397.2010.00731.x · Cited by 22

Everyday stress and crohn’s disease activity: A time series analysis of 20 single cases

Traue, H. C., & Kosarz, P. (1999) · International Journal of Behavioral Medicine · doi:10.1207/s15327558ijbm0602_1 · Cited by 21

Operation Thumbs Down: A quasi-experimental evaluation of an FBI gang takedown in South Central Los Angeles

Ratcliffe, J. H., Perenzin, A., & Sorg, E. T. (2017) · Policing: An International Journal of Police Strategies & Management · doi:10.1108/pijpsm-01-2016-0004 · Cited by 16

How Stock Market Liquidity Impact Economic Growth in South Africa

Chipaumire, G., & Ngirande, H. (2014) · Journal of Economics · doi:10.1080/09765239.2014.11884995 · Cited by 16

Effect Sizes in Single-Case Aphasia Studies: A Comparative, Autocorrelation-Oriented Analysis

Archer, B., Azios, J. H., Müller, N., & Macatangay, L. (2019) · Journal of Speech, Language, and Hearing Research · doi:10.1044/2019_jslhr-l-18-0186 · Cited by 13

Subset-Continuous-Updating GMM Estimators for Dynamic Panel Data Models

Ashley, R., & Sun, X. (2016) · Econometrics · doi:10.3390/econometrics4040047 · Cited by 8

Stock Price Forecasting with Empirical Mode Decomposition Based Ensemble $$\nu $$ -Support Vector Regression Model

Qiu, X., Zhu, H., Suganthan, P. N., & Amaratunga, G. A. J. (2017) · Communications in Computer and Information Science · doi:10.1007/978-981-10-6427-2_2 · Cited by 7