Complexity is costly: a meta‐analysis of parametric and non‐parametric methods for short‐term population forecasting
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Ben Collen | James T. Thorson | Eric J. Ward | J. Thorson | B. Collen | E. Ward | Eli E. Holmes | E. Holmes
[1] J. Stock,et al. A Comparison of Linear and Nonlinear Univariate Models for Forecasting Macroeconomic Time Series , 1998 .
[2] Morton E. Gurtin,et al. Non-linear age-dependent population dynamics , 1974 .
[3] Non-linear age-dependent population growth , 1980, Journal of mathematical biology.
[4] Perry de Valpine,et al. Are patterns of density dependence in the Global Population Dynamics Database driven by uncertainty about population abundance? , 2012, Ecology letters.
[5] Ray Hilborn,et al. Standing on the Shoulders of Giants: Learning from Experience in Fisheries , 1998, Reviews in Fish Biology and Fisheries.
[6] G. Coco,et al. Complex Positive Connections between Functional Groups Are Revealed by Neural Network Analysis of Ecological Time Series , 2008, The American Naturalist.
[7] E. Toth,et al. Comparison of short-term rainfall prediction models for real-time flood forecasting , 2000 .
[8] George Sugihara,et al. Detecting and forecasting complex nonlinear dynamics in spatially structured catch-per-unit- effort time series for North Pacific albacore (Thunnus alalunga) , 2011 .
[9] B T Grenfell,et al. Noisy Clockwork: Time Series Analysis of Population Fluctuations in Animals , 2001, Science.
[10] Brian Dennis,et al. Estimation of Growth and Extinction Parameters for Endangered Species , 1991 .
[11] Michael J. Ford,et al. Status review update for Pacific salmon and steelhead listed under the Endangered Species Act : Pacific Northwest , 2011 .
[12] I. Dimopoulos,et al. Application of neural networks to modelling nonlinear relationships in ecology , 1996 .
[13] A. Raftery,et al. Using Bayesian Model Averaging to Calibrate Forecast Ensembles , 2005 .
[14] David R. Anderson,et al. Model Selection and Multimodel Inference , 2003 .
[15] C. S. Robbins,et al. The breeding bird survey , 1986 .
[16] Elizabeth E. Holmes,et al. Inferring spatial structure from time‐series data: using multivariate state‐space models to detect metapopulation structure of California sea lions in the Gulf of California, Mexico , 2010 .
[17] Stephen T. Buckland,et al. State-space models for the dynamics of wild animal populations , 2004 .
[18] George Sugihara,et al. Model-free forecasting outperforms the correct mechanistic model for simulated and experimental data , 2013, Proceedings of the National Academy of Sciences.
[19] G Sugihara,et al. Distinguishing error from chaos in ecological time series. , 1990, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[20] Chih-hao Hsieh,et al. Extending Nonlinear Analysis to Short Ecological Time Series , 2007, The American Naturalist.
[21] S. Wood. Generalized Additive Models: An Introduction with R , 2006 .
[22] S. Lele,et al. ESTIMATING DENSITY DEPENDENCE, PROCESS NOISE, AND OBSERVATION ERROR , 2006 .
[23] E. E. Holmes,et al. Estimating risks in declining populations with poor data , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[24] Rainer Froese,et al. FishBase 2000: Concepts, designs and data sources , 2000 .
[25] Rob J Hyndman,et al. 25 years of time series forecasting , 2006 .
[26] C. Granger,et al. Experience with Forecasting Univariate Time Series and the Combination of Forecasts , 1974 .
[27] Cóilín Minto,et al. Examining the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database , 2012 .
[28] Konstantinos I. Stergiou,et al. Modelling and forecasting annual fisheries catches: comparison of regression, univariate and multivariate time series methods , 1997 .
[29] Ben Collen,et al. Monitoring Change in Vertebrate Abundance: the Living Planet Index , 2009, Conservation biology : the journal of the Society for Conservation Biology.
[30] W. Link,et al. The North American Breeding Bird Survey Results and Analysis , 1997 .
[31] Rob J Hyndman,et al. Another look at measures of forecast accuracy , 2006 .
[32] S. T. Bucklanda,et al. State-space models for the dynamics of wild animal populations , 2003 .
[33] D. R. Cutler,et al. Utah State University From the SelectedWorks of , 2017 .
[34] R. Peterman,et al. Magnitude and Trends in Abundance of Hatchery and Wild Pink Salmon, Chum Salmon, and Sockeye Salmon in the North Pacific Ocean , 2010 .
[35] Rob J Hyndman,et al. A state space framework for automatic forecasting using exponential smoothing methods , 2002 .
[36] S. Lindley,et al. STATUS REVIEW UPDATE FOR PACIFIC SALMON AND STEELHEAD LISTED UNDER THE ENDANGERED SPECIES ACT: SOUTHWEST , 2011 .
[37] Karen C. Abbott,et al. Analysis of ecological time series with ARMA(p,q) models. , 2010, Ecology.
[38] John Geweke,et al. Comparing alternative tests of causality in temporal systems: Analytic results and experimental evidence☆ , 1983 .
[39] R. May,et al. VARIABLE PARASITOID SEX RATIOS AND THEIR EFFECT ON HOST-PARASITOID DYNAMICS , 1983 .
[40] R. Peterman,et al. Historical trends in productivity of 120 Pacific pink, chum, and sockeye salmon stocks reconstructed by using a Kalman filter , 2008 .
[41] George Sugihara,et al. Nonlinear forecasting for the classification of natural time series , 1994, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.
[42] S. Lindley,et al. ESTIMATION OF POPULATION GROWTH AND EXTINCTION PARAMETERS FROM NOISY DATA , 2003 .
[43] George Sugihara,et al. Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series , 1990, Nature.
[44] Steven V. Viscido,et al. A statistical approach to quasi-extinction forecasting. , 2007, Ecology letters.
[45] R. May. Thresholds and breakpoints in ecosystems with a multiplicity of stable states , 1977, Nature.
[46] A. Hastings,et al. Stochastic Dynamics and Deterministic Skeletons: Population Behavior of Dungeness Crab , 1997 .
[47] W. Cleveland,et al. Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting , 1988 .
[48] J. Randers,et al. The Living Planet Index: using species population time series to track trends in biodiversity , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[49] S. T. Buckland,et al. Hidden process models for animal population dynamics. , 2006, Ecological applications : a publication of the Ecological Society of America.
[50] Elizabeth E. Holmes,et al. VALIDATING POPULATION VIABILITY ANALYSIS FOR CORRUPTED DATA SETS , 2002 .