Minimizing model fitting objectives that contain spurious local minima by bootstrap restarting

Biometrics

Volumn 57, Issue 1, 2001, Pages 240-244

  Wood, S N ^a  

^a UNIVERSITY OF ST ANDREWS   (United Kingdom)

Author keywords

Ecological model; Global optimization; Nonlinear model fitting; Population dynamic model fitting; Simulated annealing; Stochastic optimization

Indexed keywords

DYNAMIC MODELS; GLOBAL OPTIMIZATION; NONLINEAR SYSTEMS; POPULATION STATISTICS; STOCHASTIC MODELS;

ECOLOGICAL MODELING; GLOBAL OPTIMISATION; LOCAL MINIMUMS; MINIMISATION; MODEL FITTING; NONLINEAR MODEL FITTING; OBJECTIVE FUNCTIONS; POPULATION DYNAMIC MODEL; POPULATION DYNAMIC MODEL FITTING; STOCHASTIC OPTIMIZATIONS;

SIMULATED ANNEALING;

ARTICLE; BIOMETRY; DATA ANALYSIS; ECOLOGY; MOTH; NONHUMAN; NONLINEAR SYSTEM; POPULATION DYNAMICS;

LEPIDOPTERA;

EID: 0035099162     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2001.00240.x     Document Type: Article

References (19)

1. The pine looper in Britain and Europe
2. Synchronous fluctuations in spatially separated populations of cyclic forest insects
3. The population dynamics of the pine looper moth, Bupalus piniaria L. (Ledpidoptera: Geometridae)
4. Common mechanisms underlying contrasting dynamics in 2 populations of the pine looper moth
5. Automatic starting point selection for function optimization
6. Optimization using simulated annealing
7. Methods for modifying matrix factorizations
8. Population cycles of forest lepidoptera - A maternal effect hypothesis
9. Simple mathematical models with very complicated dynamics
10. Bifurcations and dynamic complexity in simple ecological models
11. Mathematical Biology
12. Model search by bootstrap bumping