Abstract In this article we consider the estimation of log-normalization constant associated to a class continuous-time filtering models. particular, ensemble Kalman–Bucy filter estimates based upon several nonlinear diffusions. Using new conditional bias results for mean aforementioned methods, analyze empirical log-scale normalization constants in terms their $\mathbb{L}_n$ -errors and -condi...

Many probabilistic models are only defined up to a normalization constant. This makes maximum likelihood estimation of the model parameters very difficult. Typically, one then has to resort to Markov Chain Monte Carlo methods, or approximations of the normalization constant. Previously, a method called score matching was proposed for computationally efficient yet (locally) consistent estimation...

We reanalyze deep inelastic scattering data of BCDMS Collaboration by including proper cuts of ranges with large systematic errors. We perform also the fits of high statistic deep inelastic scattering data of BCDMS, SLAC, NM and BFP Collaborations taking the data separately and in combined way and find good agreement between these analyses. We extract the values of the QCD coupling constant αs(...

BACKGROUND Intensity normalization is an important preprocessing step in brain magnetic resonance image (MRI) analysis. During MR image acquisition, different scanners or parameters would be used for scanning different subjects or the same subject at a different time, which may result in large intensity variations. This intensity variation will greatly undermine the performance of subsequent MR...

We studied the high energy elastic scattering of quark anti-quark with an exchange of a mesonic state in the t channel with −t/Λ 2 ≫ 1. Both the normalization factor and the Regge trajectory can be calculated in PQCD in cases of fixed (non-running) and running coupling constant. The dependence of the Regge trajectory on the coupling constant is highly non-linear and the trajectory is of order o...

MicroRNAs (miRNAs) are short, endogenous non-coding RNAs that function as guide molecules to regulate transcription of their target messenger RNAs. Several methods including low-density qPCR arrays are being increasingly used to profile the expression of these molecules in a variety of different biological conditions. Reliable analysis of expression profiles demands removal of technical variati...

This is a tripartite work. The first part is a brief discussion of what it is to be a logical constant, rejecting a view that allows a particular self-referential “constant” • to be such a thing in favour of a view that leads to strong normalisation results. The second part is a commentary on the flattened version of Modus Ponens, and its relationship with rules of type theory. The third part i...

Speaker normalization is a process in which the short-time features of speech from a given speaker are transformed so as to better match some speaker independent model. Vocal tract length normalization (VTLN) is a popular speaker normalization scheme wherein the frequency axis of the short-time spectrum associated with a speaker's speech is rescaled or warped prior to the extraction of cepstral...

Many logical systems justify their consistency via proofs of cut elimination or normalization. However, these metatheoretic proofs inevitably use a transfinite induction which cannot be proved wellfounded within the system itself. We present evident logic, a logical system with a normalization proof which does not require any induction that is stronger than what is available within the logical ...

A review of orbifold geometry is given, followed by a review of the construction of fourdimensional heterotic string models by compactification on a six-dimensional Z3 orbifold. Particular attention is given to the details of the transition from a classical theory to a first-quantized theory. Subsequently, a discussion is given of the systematic enumeration of all standard-like three generation...