behavioral stochastic nonlinear dynamics model Search Results


stochastic seihr model  (Nonlinear Dynamics)
90
Nonlinear Dynamics stochastic seihr model
Stochastic Seihr Model, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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mcmc bayesian estimation of a skewged stochastic volatility model  (Nonlinear Dynamics)
90
Nonlinear Dynamics mcmc bayesian estimation of a skewged stochastic volatility model
Mcmc Bayesian Estimation Of A Skewged Stochastic Volatility Model, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mcmc bayesian estimation of a skewged stochastic volatility model/product/Nonlinear Dynamics
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mcmc bayesian estimation of a skewged stochastic volatility model - by Bioz Stars, 2026-05
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stochastic systems  (Nonlinear Dynamics)
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Nonlinear Dynamics stochastic systems
Stochastic Systems, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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stochastic systems - by Bioz Stars, 2026-05
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stochastic epidemiological model  (Nonlinear Dynamics)
90
Nonlinear Dynamics stochastic epidemiological model
Examples of model fit using parameter point estimates: a – b United States, c – d Germany, e – f Australia, g – h United Kingdom, i – j South Korea, and k – l New Zealand. Vertical bars indicate daily reported cases (yellow) and deaths (red). The 50% (dark shaded region) and 95% credible intervals (light shaded region) of the posterior predictive distributions are plotted against the observational data. Credible intervals are computed using n =100 <t>stochastic</t> simulations for the given point estimate. Full posterior predictive distributions are presented in the
Stochastic Epidemiological Model, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/stochastic epidemiological model/product/Nonlinear Dynamics
Average 90 stars, based on 1 article reviews
stochastic epidemiological model - by Bioz Stars, 2026-05
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stochastic structure and nonlinear dynamics of food webs: qualitative stability in a lotka-volterra cascade model  (Nonlinear Dynamics)
90
Nonlinear Dynamics stochastic structure and nonlinear dynamics of food webs: qualitative stability in a lotka-volterra cascade model
Examples of model fit using parameter point estimates: a – b United States, c – d Germany, e – f Australia, g – h United Kingdom, i – j South Korea, and k – l New Zealand. Vertical bars indicate daily reported cases (yellow) and deaths (red). The 50% (dark shaded region) and 95% credible intervals (light shaded region) of the posterior predictive distributions are plotted against the observational data. Credible intervals are computed using n =100 <t>stochastic</t> simulations for the given point estimate. Full posterior predictive distributions are presented in the
Stochastic Structure And Nonlinear Dynamics Of Food Webs: Qualitative Stability In A Lotka Volterra Cascade Model, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/stochastic structure and nonlinear dynamics of food webs: qualitative stability in a lotka-volterra cascade model/product/Nonlinear Dynamics
Average 90 stars, based on 1 article reviews
stochastic structure and nonlinear dynamics of food webs: qualitative stability in a lotka-volterra cascade model - by Bioz Stars, 2026-05
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stochastic delay rotor-seal model  (Nonlinear Dynamics)
90
Nonlinear Dynamics stochastic delay rotor-seal model
Examples of model fit using parameter point estimates: a – b United States, c – d Germany, e – f Australia, g – h United Kingdom, i – j South Korea, and k – l New Zealand. Vertical bars indicate daily reported cases (yellow) and deaths (red). The 50% (dark shaded region) and 95% credible intervals (light shaded region) of the posterior predictive distributions are plotted against the observational data. Credible intervals are computed using n =100 <t>stochastic</t> simulations for the given point estimate. Full posterior predictive distributions are presented in the
Stochastic Delay Rotor Seal Model, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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stochastic delay rotor-seal model - by Bioz Stars, 2026-05
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nonlinear dynamic networks: techniques for robust analysis of deterministic and stochastic models  (Olon Ricerca Bioscience)
90
Olon Ricerca Bioscience nonlinear dynamic networks: techniques for robust analysis of deterministic and stochastic models
Examples of model fit using parameter point estimates: a – b United States, c – d Germany, e – f Australia, g – h United Kingdom, i – j South Korea, and k – l New Zealand. Vertical bars indicate daily reported cases (yellow) and deaths (red). The 50% (dark shaded region) and 95% credible intervals (light shaded region) of the posterior predictive distributions are plotted against the observational data. Credible intervals are computed using n =100 <t>stochastic</t> simulations for the given point estimate. Full posterior predictive distributions are presented in the
Nonlinear Dynamic Networks: Techniques For Robust Analysis Of Deterministic And Stochastic Models, supplied by Olon Ricerca Bioscience, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/nonlinear dynamic networks: techniques for robust analysis of deterministic and stochastic models/product/Olon Ricerca Bioscience
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nonlinear dynamic networks: techniques for robust analysis of deterministic and stochastic models - by Bioz Stars, 2026-05
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stochastic coronavirus (covid-19) epidemic model  (Nonlinear Dynamics)
90
Nonlinear Dynamics stochastic coronavirus (covid-19) epidemic model
Examples of model fit using parameter point estimates: a – b United States, c – d Germany, e – f Australia, g – h United Kingdom, i – j South Korea, and k – l New Zealand. Vertical bars indicate daily reported cases (yellow) and deaths (red). The 50% (dark shaded region) and 95% credible intervals (light shaded region) of the posterior predictive distributions are plotted against the observational data. Credible intervals are computed using n =100 <t>stochastic</t> simulations for the given point estimate. Full posterior predictive distributions are presented in the
Stochastic Coronavirus (Covid 19) Epidemic Model, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/stochastic coronavirus (covid-19) epidemic model/product/Nonlinear Dynamics
Average 90 stars, based on 1 article reviews
stochastic coronavirus (covid-19) epidemic model - by Bioz Stars, 2026-05
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outlier robust stochastic approximation algorithm for identification of mimo hammerstein models  (Nonlinear Dynamics)
90
Nonlinear Dynamics outlier robust stochastic approximation algorithm for identification of mimo hammerstein models
Examples of model fit using parameter point estimates: a – b United States, c – d Germany, e – f Australia, g – h United Kingdom, i – j South Korea, and k – l New Zealand. Vertical bars indicate daily reported cases (yellow) and deaths (red). The 50% (dark shaded region) and 95% credible intervals (light shaded region) of the posterior predictive distributions are plotted against the observational data. Credible intervals are computed using n =100 <t>stochastic</t> simulations for the given point estimate. Full posterior predictive distributions are presented in the
Outlier Robust Stochastic Approximation Algorithm For Identification Of Mimo Hammerstein Models, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/outlier robust stochastic approximation algorithm for identification of mimo hammerstein models/product/Nonlinear Dynamics
Average 90 stars, based on 1 article reviews
outlier robust stochastic approximation algorithm for identification of mimo hammerstein models - by Bioz Stars, 2026-05
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Examples of model fit using parameter point estimates: a – b United States, c – d Germany, e – f Australia, g – h United Kingdom, i – j South Korea, and k – l New Zealand. Vertical bars indicate daily reported cases (yellow) and deaths (red). The 50% (dark shaded region) and 95% credible intervals (light shaded region) of the posterior predictive distributions are plotted against the observational data. Credible intervals are computed using n =100 stochastic simulations for the given point estimate. Full posterior predictive distributions are presented in the

Journal: BMC Public Health

Article Title: Hindsight is 2020 vision: a characterisation of the global response to the COVID-19 pandemic

doi: 10.1186/s12889-020-09972-z

Figure Lengend Snippet: Examples of model fit using parameter point estimates: a – b United States, c – d Germany, e – f Australia, g – h United Kingdom, i – j South Korea, and k – l New Zealand. Vertical bars indicate daily reported cases (yellow) and deaths (red). The 50% (dark shaded region) and 95% credible intervals (light shaded region) of the posterior predictive distributions are plotted against the observational data. Credible intervals are computed using n =100 stochastic simulations for the given point estimate. Full posterior predictive distributions are presented in the

Article Snippet: Instead of modelling specific intervention types and timings for each country explicitly, we adopt a stochastic epidemiological model including a feedback mechanism on virus transmission to capture complex nonlinear dynamics arising from continuous changes in community behaviour in response to rising case numbers.

Techniques: