PPT-Parameter Redundancy and Identifiability in Ecological

Models Diana Cole University of Kent Rémi Choquet CEFE CNRS France x Occupancy Model example Parameters species is detected C an only estimate rather than and . JACQUEZ Department of Physiology The Unioersify of Michigan Ann Arbor Michigan 48109 0010 AND PETER GREIF LahoratorJ of Mathematical Biology National Cancer Institute Naiional Instrtutes of Health Bethesda MaTland 20205 Received 20 November 1984 rev Parameter . R. edundancy . in . Ecological . State-Space . M. odels. Diana . Cole . and . Rachel . McCrea . National Centre for Statistical Ecology, University of . Kent. Lapwing Example. Lapwing (. Vanellus. Diana Cole. University of Kent. A model is parameter redundant (or non-identifiable) if you cannot estimate all the parameters.. Caused by the model itself (intrinsic parameter redundancy).. Caused . Parameter . R. edundancy . in . Integrated Population Models. Diana . Cole . and . Rachel . McCrea . National Centre for Statistical Ecology, University of . Kent. Lapwing Example. Lapwing (. Vanellus. Parameter . R. edundancy . in . Integrated Population Models. Diana . Cole . and . Rachel . McCrea . National Centre for Statistical Ecology, . School of Mathematics, Statistics and Actuarial Science, University . Rosalie Cattermole, Senior Associate. Claire Tuffield, Solicitor . Definition . Redundancy. Redundancy occurs when an employer no longer requires . anyone to perform a particular job. due to changes in the . Without . a doubt redundancies can be required to keep a business viable. Employers need to ensure that they make their decisions based on what is best for the business - not because they want to get rid of Danny . Ashok Anand. . Ramachandran. . Ramjee. . Chitra. . Muthukrishnan. . Microsoft Research Lab, India. . Aditya. . Akella. University of Wisconsin, Madison. Redundancy in network traffic. Nicolette . Meshkat. North Carolina State University. Parameter Estimation Workshop – NCSU. August 9, 2014. 78 . slides. Structural Identifiability Analysis. Linear Model:. state variable. input. Alexander Afanasyev. Jiangzhe. Wang. Chunyi. . Peng. LIXIA ZHANG. AINTEC 2011. November 11, 2011. Presented by . Lixia. Zhang. Redundancy on the Internet. Potential redundancy sources . the Internet is getting more and more commercialized. Ashok Anand. . Ramachandran. . Ramjee. . Chitra. . Muthukrishnan. . Microsoft Research Lab, India. . Aditya. . Akella. University of Wisconsin, Madison. Redundancy in network traffic. by Integrating . Intuition . and Machine . Learning via Gamification. Ben Saylor. 1. , . Anagha. Kulkarni. 1. , Neo Martinez. 2. , . Ilmi. Yoon. 1. bsaylor@mail.sfsu.edu, ak@sfsu.edu, neomartinez@email.arizona.edu, ilmi@sfsu.edu. in . Integrated Population Models. Diana . Cole . and . Rachel . McCrea . National Centre for Statistical Ecology, . School of Mathematics, Statistics and Actuarial Science, University . M.J.Chappell@warwick.ac.uk. Structural . Identifiability. Analysis. What are compartmental models?. Consist of finite number of . compartments. homogeneous, well-mixed, lumped subsystems. kinetically the same.