[PDF] Top 20 Stochastic time models of syllable structure.
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Stochastic time models of syllable structure.
... result of these processes, a large number of word-initial consonant clusters were ...Some of these have a rising sonority profile, as in /glih/ above or /flan/ ‘someone’, where the low sonority /g/ ... See full document
36
Validation of conventional Lagrangian stochastic footprint models against LES driven footprint estimates
... number of particles are followed as they traverse between their sources and the observation ...point. Stochastic models are more time consuming but they can also be applied for measurements ... See full document
36
Language universals engage Broca's area.
... consequences of the syllable ...patterns of activation and deactivation might reflect processing costs and preference, ...representation of the stimulus at any particular trial ...effect ... See full document
10
Pricing of Volatility Derivatives using 3/2-Stochastic Models
... price of the underlying asset (either variance for volatility and variance swaps, or the VIX for VIX options), b and k are constant and dZ, here and elsewhere in the paper denotes an increment in a Wiener process ... See full document
6
Stochastic Measurement Models for Quantifying Lymphocyte Responses Using Flow Cytometry.
... SSR models allow posi- tive variances ...probability of a negative mea- ...one of the reasons for reduced likelihood, compared to the 3F model (Fig ...all time points ...one of the ... See full document
20
Bayesian estimation of inefficiency heterogeneity in stochastic frontier models
... modeling of both observed and unobserved heterogeneity in the ineffi- ciency within a Bayesian ...model of Caudill et ...parameter of a half normal inefficiency ...property of changing the ... See full document
29
Braz. J. Phys. vol.33 número3
... lattice models that evolve in time according to an irreversible stochastic dynamics, which may be continuous (leading to a master equation), or discrete, as in the case of probabilistic ... See full document
1
A Study to Compute the Numerical Solution of Stochastic Models in Reliability Engineering
... analysis of an industry can help the management in taking timely decision for its smooth ...number of research papers have been published in the field of reliability (1960, 1963, 1964, 1969, ...study ... See full document
8
Comparing conditional and stochastic volatility models: goodness of fit, forecasting and value-at-risk
... source of error in the SV model might be more important than the functional form flexibility of the APARCH or even the leverage effect captured by both EGARCH and APARCH ...CPU time-consuming model ... See full document
43
Stochastic computations in cortical microcircuit models.
... space of configurations generated by the ...absence of competition, these uninhibited neurons will start firing along with the givens, thereby further constraining neighboring ...form of inhibitory ... See full document
28
Recurrent gaussian processes and robust dynamical modeling
... study of dynamical systems is widespread across several areas of ...most of them that we cannot explain by equations derived from known physical laws and ...task of nonlinear system ... See full document
190
A solution for a real-time stochastic capacitated vehicle routing problem with time windows
... computation of the routes is done), the i3FR-Hub (implementing a channel to all the communications inside the system and to the exterior), the i3FR-DB (provider of local storage to the information relevant ... See full document
10
Nowcasting Brazilian GDP: a performance assessment of dynamic factor models
... class of problems started approx- imately ten years ago with Evans (2005) and Giannone et ...problem of predicting the present, the recent past, or the near ...Factor Models (DFMs). Some reasons for ... See full document
44
2 Structural Time Series Models
... availability of economic data in recent years and, more impor- tantly, the possibility to construct larger frequency time series, have fostered the use (and development) of statistical and ... See full document
30
Lessons and perspectives for applications of stochastic models in biological and cancer research
... inverse of the cell division time during the early phase of culture experi- ments when the growth is still approximately ...rate of both cell types had the same value, while the final ... See full document
8
Stochastic quantization of real-time thermal field theory
... the stochastic quantization to study such systems with complex valued path integral weights, where we have a nonpositive definite ...gence of the stochastic process in the asymptotic limit of ... See full document
19
Using stochastic space-time models to map extreme precipitation in southern Portugal
... South of continental Por- tugal where the rainfall regime is typically ...measure of medium-term precipitation ...space-time models that allow capturing long-term trends of extreme pre- ... See full document
11
Estimating the stochastic bifurcation structure of cellular networks.
... One of the primary goals of systems biology is to uncover the dynamics of cellular ...collecting time-series data and applying tools for time-series analysis such as Fourier methods to ... See full document
11
Hedging options in a garch environment: testing the term structure of stochastic volatility models
... Hedging tests select the Constant Volatility model using a gamma hedge, followed by the GARCH components model as best at forecasting the term structure. It is argl.1ed that the sur[r] ... See full document
36
The Usage of Time Series Control Charts for Financial Process Analysis
... degree of autocorrelation data causes failure of classical Shewhart control ...form of a large number of points outside the regulatory limits in control ...case of continuous processes, ... See full document
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