Generalized Additive Models.

New approaches to regression by generalized additive models and continuous optimization for modern applications in finance, science and technology

Taylan, P., Weber, G.-W., & Beck, A. (2007) · Optimization · doi:10.1080/02331930701618740 · Cited by 83

Can we use the young : female ratio to infer ungulate population dynamics? An empirical test using red deer Cervus elaphus as a model

BONENFANT, C., GAILLARD, J., KLEIN, F., & HAMANN, J. (2005) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2005.01008.x · Cited by 80

A stochastic deconvolution method to reconstruct insulin secretion rate after a glucose stimulus

Sparacino, G., & Cobelli, C. (1996) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.488799 · Cited by 76

Non-life rate-making with Bayesian GAMs

Denuit, M., & Lang, S. (2004) · Insurance: Mathematics and Economics · doi:10.1016/j.insmatheco.2004.08.001 · Cited by 75

Respiratory and mental health effects of wildfires: an ecological study in Galician municipalities (north-west Spain)

Caamano-Isorna, F., Figueiras, A., Sastre, I., Montes-Martínez, A., Taracido, & Piñeiro-Lamas, M. (2011) · Environmental Health · doi:10.1186/1476-069x-10-48 · Cited by 71

Explainable machine learning for public policy: Use cases, gaps, and research directions

Amarasinghe, K., Rodolfa, K. T., Lamba, H., & Ghani, R. (2023) · Data & Policy · doi:10.1017/dap.2023.2 · Cited by 73

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

Associação entre material particulado de queimadas e doenças respiratórias na região sul da Amazônia brasileira

Carmo, C. N. D., Hacon, S., Longo, K. M., Freitas, S., Ignotti, E., Leon, A. P. D., & Artaxo, P. (2010) · Revista Panamericana de Salud Pública · doi:10.1590/s1020-49892010000100002 · Cited by 58

Sleep duration, vital exhaustion, and odds of spontaneous preterm birth: a case–control study

Kajeepeta, S., Sanchez, S. E., Gelaye, B., Qiu, C., Barrios, Y. V., Enquobahrie, D. A., & Williams, M. A. (2014) · BMC Pregnancy and Childbirth · doi:10.1186/1471-2393-14-337 · Cited by 51

Hypoalbuminemia and early mortality after lung transplantation: a cohort study

Baldwin, M. R., Arcasoy, S. M., Shah, A., Schulze, P. C., Sze, J., Sonett, J. R., & Lederer, D. J. (2012) · American Journal of Transplantation · doi:10.1111/j.1600-6143.2011.03965.x · Cited by 54

The influence of different signal-to-background ratios on spatial resolution and F18-FDG-PET quantification using point spread function and time-of-flight reconstruction

Rogasch, J. M., Hofheinz, F., Lougovski, A., Furth, C., Ruf, J., Großer, O. S., Mohnike, K., Hass, P., Walke, M., Amthauer, H., et al. (2014) · EJNMMI Physics · doi:10.1186/2197-7364-1-12 · Cited by 53

Inverse Association Between Dietary Vitamin D and Risk of Cutaneous Melanoma in a Northern Italy Population

Vinceti, M., Malagoli, C., Fiorentini, C., Longo, C., Crespi, C. M., Albertini, G., Ricci, C., Lanzoni, A., Reggiani, M., Virgili, A., et al. (2011) · Nutrition and Cancer · doi:10.1080/01635581.2011.539314 · Cited by 52

Assessing risk for preclinical β‐amyloid pathology with APOE , cognitive, and demographic information

Insel, P. S., Palmqvist, S., Mackin, R. S., Nosheny, R. L., Hansson, O., Weiner, M. W., Mattsson, N., & Initiative, A. D. N. (2016) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2016.07.002 · Cited by 52

Urban expansion in Zanzibar City, Tanzania: Analyzing quantity, spatial patterns and effects of alternative planning approaches

Kukkonen, M. O., Muhammad, M. J., Käyhkö, N., & Luoto, M. (2018) · Land Use Policy · doi:10.1016/j.landusepol.2017.11.007 · Cited by 46

A study on the variability of albacore (Thunnus alalunga) longline catch rates in the southwest Pacific Ocean: Albacore longline fishery and environment

BRIAND, K., MOLONY, B., & LEHODEY, P. (2011) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2011.00599.x · Cited by 47

A causal inference approach to measure price elasticity in Automobile Insurance

Guelman, L., & Guillén, M. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.07.059 · Cited by 43

The Role of Race in Forecasts of Violent Crime

Berk, R. (2009) · Race and Social Problems · doi:10.1007/s12552-009-9017-z · Cited by 41

Quantifying 3D chemotaxis in microfluidic-based chips with step gradients of collagen hydrogel concentrations

Del Amo, C., Borau, C., Movilla, N., Asín, J., & García-Aznar, J. M. (2017) · Integrative Biology · doi:10.1039/c7ib00022g · Cited by 38

Distribution and drift pathways of Greenland halibut (Reinhardtius hippoglossoides) during early life stages in the eastern Bering Sea and Aleutian Islands

SOHN, D., CIANNELLI, L., & DUFFY‐ANDERSON, J. T. (2010) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2010.00549.x · Cited by 38

Stimulant treatment profiles predicting co-occurring substance use disorders in individuals with attention-deficit/hyperactivity disorder

Groenman, A. P., Schweren, L. J. S., Weeda, W., Luman, M., Noordermeer, S. D. S., Heslenfeld, D. J., Franke, B., Faraone, S. V., Rommelse, N., Hartman, C. A., et al. (2019) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-019-01283-y · Cited by 36

Dose-dependent model of caffeine effects on human vigilance during total sleep deprivation

Ramakrishnan, S., Laxminarayan, S., Wesensten, N. J., Kamimori, G. H., Balkin, T. J., & Reifman, J. (2014) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2014.05.017 · Cited by 33

A new model for investigating the mortality effects of multiple air pollutants in air pollution mortality time-series studies

Roberts, S. (2006) · Journal of Toxicology and Environmental Health, Part A · doi:10.1080/15287390500246761 · Cited by 32

Spatio‐temporal distribution of albacore (Thunnus alalunga) catches in the northeastern Atlantic: relationship with the thermal environment

SAGARMINAGA, Y., & ARRIZABALAGA, H. (2010) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2010.00532.x · Cited by 31

Maternal smokeless tobacco use in Alaska Native women and singleton infant birth size

ENGLAND, L. J., KIM, S. Y., SHAPIRO‐MENDOZA, C. K., WILSON, H. G., KENDRICK, J. S., SATTEN, G. A., LEWIS, C. A., WHITTERN, P., TUCKER, M. J., & CALLAGHAN, W. M. (2012) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/j.1600-0412.2011.01273.x · Cited by 29

Short-term forecasts of expected deaths

Rizzi, S., & Vaupel, J. W. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2025324118 · Cited by 18

Emergency visits and hospital admissions in aged people living close to a gas-fired power plant

Di Ciaula, A. (2012) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2011.09.013 · Cited by 17

Tensor cubic smoothing splines in designed experiments requiring residual modelling

Verbyla, A. P., De Faveri, J., Wilkie, J. D., & Lewis, T. (2018) · Journal of Agricultural, Biological and Environmental Statistics · doi:10.1007/s13253-018-0334-9 · Cited by 16

Untitled work

(1998) · doi:10.1007/3-540-26577-5_17 · Cited by 15

Sexual size dimorphism, prey morphology and catch success in relation to flight mechanics in the peregrine falcon: a simulation study

Mills, R., Taylor, G. K., & Hemelrijk, C. K. (2019) · Journal of Avian Biology · doi:10.1111/jav.01979 · Cited by 16

Modelling the routes of seasonal transhumance movement in north neuquén (patagonia)

D’Abramo, S. L., Gonzalez, P. N., Perez, S. I., & Bernal, V. (2021) · Human Ecology · doi:10.1007/s10745-021-00246-9 · Cited by 12

Signals from the deep-sea: Genetic structure, morphometric analysis, and ecological implications of Cyclothone braueri (Pisces, Gonostomatidae) early life stages in the Central Mediterranean Sea

Torri, M., Pappalardo, A. M., Ferrito, V., Giannì, S., Armeri, G. M., Patti, C., Mangiaracina, F., Biondo, G., Di Natale, M., Musco, M., et al. (2021) · Marine Environmental Research · doi:10.1016/j.marenvres.2021.105379 · Cited by 12

Linear and Non-Linear Regression Methods in Epidemiology and Biostatistics

Vittinghoff, E., McCulloch, C. E., Glidden, D. V., & Shiboski, S. C. (2011) · Essential Statistical Methods for Medical Statistics · doi:10.1016/b978-0-444-53737-9.50006-2 · Cited by 6

Key Enhancements to the WFRC/MAG Four-Step Travel Demand Model

University of Utah, Ewing, R., Sabouri, S., University of Utah, Park, K., University of Utah, Lyons, T., University of Utah, Tian, G., & University of Utah (2019) · doi:10.15760/trec.246 · Cited by 3

Occupational Epidemiology

Consonni, D., D’Errico, A., & Merletti, F. (2025) · Handbook of Epidemiology · doi:10.1007/978-1-4614-6625-3_24-1 · Cited by 3