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Abstract: In this research, two-state Markov switching models are proposed to study accident frequencies and severities. These models assume that there are two unobserved states of roadway safety, and that roadway entities (e.g., roadway segments) can switch between these states over time. The states are distinct, in t... |
Title: Comparison between CPBPV, ESC/Java, CBMC, Blast, EUREKA and Why for Bounded Program Verification |
Abstract: This report describes experimental results for a set of benchmarks on program verification. It compares the capabilities of CPBVP "Constraint Programming framework for Bounded Program Verification" [4] with the following frameworks: ESC/Java, CBMC, Blast, EUREKA and Why. |
Title: A Generalized Publication Bias Model |
Abstract: Scargle (2000) has discussed Rosenthal and Rubin's (1978) "fail-safe number" (FSN) method for estimating the number of unpublished studies in meta-analysis. He concluded that this FSN cannot possibly be correct because a central assumption the authors used conflicts with the very definition of publication bia... |
Title: Medical robotics: where we come from, where we are and where we could go |
Abstract: This short note presents a viewpoint about medical robotics. |
Title: Dynamic modeling of mean-reverting spreads for statistical arbitrage |
Abstract: Statistical arbitrage strategies, such as pairs trading and its generalizations, rely on the construction of mean-reverting spreads enjoying a certain degree of predictability. Gaussian linear state-space processes have recently been proposed as a model for such spreads under the assumption that the observed ... |
Title: Initial Results on the F-logic to OWL Bi-directional Translation on a Tabled Prolog Engine |
Abstract: In this paper, we show our results on the bi-directional data exchange between the F-logic language supported by the Flora2 system and the OWL language. Most of the TBox and ABox axioms are translated preserving the semantics between the two representations, such as: proper inclusion, individual definition, f... |
Title: Index wiki database: design and experiments |
Abstract: With the fantastic growth of Internet usage, information search in documents of a special type called a "wiki page" that is written using a simple markup language, has become an important problem. This paper describes the software architectural model for indexing wiki texts in three languages (Russian, Englis... |
Title: Reconsidering the asymptotic null distribution of likelihood ratio tests for genetic linkage in multivariate variance components models |
Abstract: Accurate knowledge of the null distribution of hypothesis tests is important for valid application of the tests. In previous papers and software, the asymptotic null distribution of likelihood ratio tests for detecting genetic linkage in multivariate variance components models has been stated to be a mixture ... |
Title: Sample size effects in multivariate fitting of correlated data |
Abstract: A common problem in analysis of experiments or in lattice QCD simulations is fitting a parameterized model to the average over a number of samples of correlated data values. If the number of samples is not infinite, estimates of the variance of the parameters ("error bars") and of the goodness of fit are affe... |
Title: Higher Order Moments Generation by Mellin Transform for Compound Models of Clutter |
Abstract: The compound models of clutter statistics are found suitable to describe the nonstationary nature of radar backscattering from high-resolution observations. In this letter, we show that the properties of Mellin transform can be utilized to generate higher order moments of simple and compound models of clutter... |
Title: Persistent Clustering and a Theorem of J. Kleinberg |
Abstract: We construct a framework for studying clustering algorithms, which includes two key ideas: persistence and functoriality. The first encodes the idea that the output of a clustering scheme should carry a multiresolution structure, the second the idea that one should be able to compare the results of clustering... |
Title: Decomposable Principal Component Analysis |
Abstract: We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. For this purpose, we reformulate the problem in the sparse inverse covariance (concentration) domain and solve the global eigenvalu... |
Title: A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data |
Abstract: We attempt to trace the history and development of Markov chain Monte Carlo (MCMC) from its early inception in the late 1940s through its use today. We see how the earlier stages of Monte Carlo (MC, not MCMC) research have led to the algorithms currently in use. More importantly, we see how the development of... |
Title: Investigation of the Zipf-plot of the extinct Meroitic language |
Abstract: The ancient and extinct language Meroitic is investigated using Zipf's Law. In particular, since Meroitic is still undeciphered, the Zipf law analysis allows us to assess the quality of current texts and possible avenues for future investigation using statistical techniques. |
Title: Spatial planning with constraints on translational distances between geometric objects |
Abstract: The main constraint on relative position of geometric objects, used in spatial planning for computing the C-space maps (for example, in robotics, CAD, and packaging), is the relative non-overlapping of objects. This is the simplest constraint in which the minimum translational distance between objects is grea... |
Title: Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem |
Abstract: In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framework, fuzzy learning methods, if properly used, can greatly help human experts. Amongst these methods, the aim of orthogonal transform... |
Title: Up-and-Down and the Percentile-Finding Problem |
Abstract: Up-and-Down (U&D) is a popular sequential design for estimating threshold percentiles in binary experiments. However, U&D application practices have stagnated, and significant gaps in understanding its properties persist. The first part of my work aims to fill gaps in U&D theory. New results concerning statio... |
Title: Minimal average degree aberration and the state polytope for experimental designs |
Abstract: For a particular experimental design, there is interest in finding which polynomial models can be identified in the usual regression set up. The algebraic methods based on Groebner bases provide a systematic way of doing this. The algebraic method does not in general produce all estimable models but it can be... |
Title: n-ary Fuzzy Logic and Neutrosophic Logic Operators |
Abstract: We extend Knuth's 16 Boolean binary logic operators to fuzzy logic and neutrosophic logic binary operators. Then we generalize them to n-ary fuzzy logic and neutrosophic logic operators using the smarandache codification of the Venn diagram and a defined vector neutrosophic law. In such way, new operators in ... |
Title: Multi-Instance Multi-Label Learning |
Abstract: In this paper, we propose the MIML (Multi-Instance Multi-Label learning) framework where an example is described by multiple instances and associated with multiple class labels. Compared to traditional learning frameworks, the MIML framework is more convenient and natural for representing complicated objects ... |
Title: Uncertainty quantification in complex systems using approximate solvers |
Abstract: This paper proposes a novel uncertainty quantification framework for computationally demanding systems characterized by a large vector of non-Gaussian uncertainties. It combines state-of-the-art techniques in advanced Monte Carlo sampling with Bayesian formulations. The key departure from existing works is th... |
Title: On sequential Monte Carlo, partial rejection control and approximate Bayesian computation |
Abstract: We present a sequential Monte Carlo sampler variant of the partial rejection control algorithm, and show that this variant can be considered as a sequential Monte Carlo sampler with a modified mutation kernel. We prove that the new sampler can reduce the variance of the incremental importance weights when com... |
Title: Conditional probability based significance tests for sequential patterns in multi-neuronal spike trains |
Abstract: In this paper we consider the problem of detecting statistically significant sequential patterns in multi-neuronal spike trains. These patterns are characterized by ordered sequences of spikes from different neurons with specific delays between spikes. We have previously proposed a data mining scheme to effic... |
Title: What It Feels Like To Hear Voices: Fond Memories of Julian Jaynes |
Abstract: Julian Jaynes's profound humanitarian convictions not only prevented him from going to war, but would have prevented him from ever kicking a dog. Yet according to his theory, not only are language-less dogs unconscious, but so too were the speaking/hearing Greeks in the Bicameral Era, when they heard gods' vo... |
Title: Offloading Cognition onto Cognitive Technology |
Abstract: "Cognizing" (e.g., thinking, understanding, and knowing) is a mental state. Systems without mental states, such as cognitive technology, can sometimes contribute to human cognition, but that does not make them cognizers. Cognizers can offload some of their cognitive functions onto cognitive technology, thereb... |
Title: Formal and Informal Model Selection with Incomplete Data |
Abstract: Model selection and assessment with incomplete data pose challenges in addition to the ones encountered with complete data. There are two main reasons for this. First, many models describe characteristics of the complete data, in spite of the fact that only an incomplete subset is observed. Direct comparison ... |
Title: Constructing word similarities in Meroitic as an aid to decipherment |
Abstract: Meroitic is the still undeciphered language of the ancient civilization of Kush. Over the years, various techniques for decipherment such as finding a bilingual text or cognates from modern or other ancient languages in the Sudan and surrounding areas has not been successful. Using techniques borrowed from in... |
Title: A game-theoretic version of Oakes' example for randomized forecasting |
Abstract: Using the game-theoretic framework for probability, Vovk and Shafer. have shown that it is always possible, using randomization, to make sequential probability forecasts that pass any countable set of well-behaved statistical tests. This result generalizes work by other authors, who consider only tests of cal... |
Title: Gibbs Sampling, Exponential Families and Orthogonal Polynomials |
Abstract: We give families of examples where sharp rates of convergence to stationarity of the widely used Gibbs sampler are available. The examples involve standard exponential families and their conjugate priors. In each case, the transition operator is explicitly diagonalizable with classical orthogonal polynomials ... |
Title: Comment: Gibbs Sampling, Exponential Families and Orthogonal Polynomials |
Abstract: Comment on ``Gibbs Sampling, Exponential Families and Orthogonal Polynomials'' [arXiv:0808.3852] |
Title: Comment: Gibbs Sampling, Exponential Families, and Orthogonal Polynomials |
Abstract: Comment on ``Gibbs Sampling, Exponential Families, and Orthogonal Polynomials'' [arXiv:0808.3852] |
Title: Covariate Balance in Simple, Stratified and Clustered Comparative Studies |
Abstract: In randomized experiments, treatment and control groups should be roughly the same--balanced--in their distributions of pretreatment variables. But how nearly so? Can descriptive comparisons meaningfully be paired with significance tests? If so, should there be several such tests, one for each pretreatment va... |
Title: Comment: Lancaster Probabilities and Gibbs Sampling |
Abstract: Comment on ``Lancaster Probabilities and Gibbs Sampling'' [arXiv:0808.3852] |
Title: Comment: On Random Scan Gibbs Samplers |
Abstract: Comment on ``On Random Scan Gibbs Samplers'' [arXiv:0808.3852] |
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