Identifiability in Age/Period/Cohort Mortality Models [PDF]
, 2020 The addition of a set of cohort parameters to a mortality model can generate complex identifiability issues due to the collinearity between the dimensions of age, period and cohort.
Blake, D., Hunt, A.
core +1 more source
Effective identifiability criteria for tensors and polynomials [PDF]
, 2017 A tensor $T$, in a given tensor space, is said to be $h$-identifiable if it admits a unique decomposition as a sum of $h$ rank one tensors. A criterion for $h$-identifiability is called effective if it is satisfied in a dense, open subset of the set of ...
Massarenti, Alex +2 more
core +2 more sources
Nonlinear Observability Algorithms with Known and Unknown Inputs: Analysis and Implementation
Mathematics, 2020 The observability of a dynamical system is affected by the presence of external inputs, either known (such as control actions) or unknown (disturbances).
Nerea Martínez, Alejandro F. Villaverde
doaj +1 more source
Structural identifiability of viscoelastic mechanical systems [PDF]
, 2014 We solve the local and global structural identifiability problems for viscoelastic mechanical models represented by networks of springs and dashpots. We propose a very simple characterization of both local and global structural identifiability based on ...
Mahdi, Adam +2 more
core +3 more sources
Set-membership identifiability of nonlinear models and related parameter estimation properties
International Journal of Applied Mathematics and Computer Science, 2016 Identifiability guarantees that the mathematical model of a dynamic system is well defined in the sense that it maps unambiguously its parameters to the output trajectories.
Jauberthie Carine +2 more
doaj +1 more source
Identifiability of parameters in latent structure models with many observed variables [PDF]
, 2009 While hidden class models of various types arise in many statistical applications, it is often difficult to establish the identifiability of their parameters.
Allman, Elizabeth S. +2 more
core +4 more sources
Identifying Causal Effects with the R Package causaleffect
Journal of Statistical Software, 2017 Do-calculus is concerned with estimating the interventional distribution of an action from the observed joint probability distribution of the variables in a given causal structure.
Santtu Tikka, Juha Karvanen
doaj +1 more source
Hodgkin–Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods [PDF]
Royal Society Open Science, 2015 As cardiac cell models become increasingly complex, a correspondingly complex ‘genealogy’ of inherited parameter values has also emerged. The result has been the loss of a direct link between model parameters and experimental data, limiting both ...
Aidan C. Daly +3 more
doaj +1 more source
Anonymous and Non-anonymous User Behavior on Social Media: A Case Study of Jodel and Instagram [PDF]
Journal of Information Science Theory and Practice, 2018 Anonymity plays an increasingly important role on social media. This is reflected by more and more applications enabling anonymous interactions. However, do social media users behave different when they are anonymous?
Kasakowskij, Regina +3 more
doaj +1 more source
Non-Linear Observer Design with Laguerre Polynomials
Entropy, 2022 In this paper, a methodology for a non-linear system state estimation is demonstrated, exploiting the input and parameter observability. For this purpose, the initial system is transformed into the canonical observability form, and the function that ...
Maria Trigka, Elias Dritsas
doaj +1 more source