Authors: Christian Robert, Jean-Michel Marin, Natesh S. Pillai
arXiv
Approximate Bayesian computation (ABC), also known as likelihood-free methods, have become a favourite tool for the analysis of complex stochastic models, primarily in population genetics but also in...
Authors: Yakir Berchenko, Richard G. White, Cyprian Wejnert, Simon D. W. Frost
arXiv
In this paper, we consider capture-recapture experiments with heterogenous catchability. In the setting we consider, the widespread Huggins-Alho estimator is not very suitable and we introduce and stu...
Authors: Karol Wawrzyniak, Wojciech Wislicki
arXiv
We study minority games in efficient regime. By incorporating the utility function and aggregating agents with similar strategies we develop an effective mesoscale notion of state of the game. Using t...
Authors: Kalyani Krishnamurthy, Rebecca Willett, Maxim Raginsky
arXiv
This paper describes computationally efficient approaches and associated theoretical performance guarantees for the detection of known targets and anomalies from few projection measurements of the und...
Authors: Marcus Kaiser, Sreedevi Varier
arXiv
Neural networks show a progressive increase in complexity during the time course of evolution. From diffuse nerve nets in Cnidaria to modular, hierarchical systems in macaque and humans, there is a gr...
Authors: Vincent Dubourg, Jean-Marc Bourinet, Bruno Sudret
arXiv
The optimal and robust design of structures has gained much attention in the past ten years due to the ever increasing need for manufacturers to build robust systems at the lowest cost. Reliability-ba...
Authors: Glen A. Coppersmith, Carey E. Priebe
arXiv
If I know of a few persons of interest, how can a combination of human language technology and graph theory help me find other people similarly interesting? If I know of a few people committing a crim...
Authors: Andreas Schierwagen
arXiv
Various research initiatives try to utilize the operational principles of organisms and brains to develop alternative, biologically inspired computing paradigms and artificial cognitive systems. This...
Authors: Mehdi Bayati, Alireza Valizadeh
arXiv
In an all-to-all network of integrate-fire oscillators in which there is a disorder in the intrinsic firing rates of the neurons, we show that through spike timing-dependent plasticity the links which...
Authors: Joseph Dureau, Konstantinos Kalogeropoulos, Marc Baguelin
arXiv
Epidemics are often modelled using non-linear dynamical systems observed through partial and noisy data. In this paper, we consider stochastic extensions in order to capture unknown influences (changi...
Authors: Petra Friederichs, Thordis L. Thorarinsdottir
arXiv
Predictions of the uncertainty associated with extreme events are a vital component of any prediction system for such events. Consequently, the prediction system ought to be probabilistic in nature, w...
Authors: Allen B. Downey
arXiv
We present a Bayesian method for estimating the age of a renal tumor given its size. We use a model of tumor growth based on published data from observations of untreated tumors. We find, for example,...
Authors: Leonardo L. Gollo, Claudio Mirasso, Víctor M. Eguíluz
arXiv
The dynamic range measures the capacity of a system to discriminate the intensity of an external stimulus. Such an ability is fundamental for living beings to survive: to leverage resources and to avo...
Authors: Kurt R. Illig, Kristin C. Rasmus, Andrew L. Varnell, Eric M. Ostertag, William D. Klipec, Donald C. Cooper
arXiv
The nonselective cation channel TRPC4 has been shown to be present in high abundance in the corticolimbic regions of the brain and play a pivotal role in modulating cellular excitability due to their...
Authors: Roy Mendelssohn, CIndy Bessey
arXiv
North Pacific sea surface temperatures (SST), as used in estimating the PDO, are reanalyzed using state-space decomposition and subspace identification techniques. The reanalysis presents a very diffe...