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FUNCTIONAL COEFFICIENT MOVING AVERAGE MODEL WITH APPLICATIONS TO FORECASTING CHINESE CPI
Moving Average model functional coefficient model fore- casting Consumer Price Index
2016/1/26
This article establishes the functional coefficient moving average mod-el (FMA), which allows the coefficient of the classical moving average model to adapt with a covariate. The functional coefficien...
On-Line Portfolio Selection with Moving Average Reversion
Portfolio Selection Moving Average Reversion
2012/9/14
On-line portfolio selection has attracted in-creasing interests in machine learning and AI communities recently. Empirical evidence show that stock’s high and low prices are temporary and stock price ...
Statistical Analysis of Autoregressive Fractionally Integrated Moving Average Models
ARFIMA models long-memory time series Whittle esti-mation exact variance matrix impulse response functions forecasting, R package.
2012/9/17
In practice, several time series exhibit long-range dependence or per-sistence in their observations, leading to the development of a number of estimation and prediction methodologies to account for t...
Using Moving Average Method To Estimate Entropy In Testing Exponentiality For Type-II Censored Data
Entropy Monte Carlo simulation Kullback-Leibler distance mov-ing average method Hazard function.
2012/9/19
In this paper, we introduce a modified test statistic, by applying moving average method and present a new cdf estimator to estimate the joint entropy of the type-II censored data. We also establish a...
Forecasting Value-at-Risk with Time-Varying Variance, Skewness and Kurtosis in an Exponential Weighted Moving Average Framework
exponential weighted moving average time -varying higher moments Cornish-Fisher expansion Gram -Charlier density risk management Value-at -Risk
2012/9/14
This paper provides an insight to the time-varying dynamics of the shape of the distribution of financial return series by proposing an exponential weighted moving average model that joint...
FunctionaL Regular Variation of Levy-driven Multivariate Mixed Moving Average Processes
cadlag sample paths functional regular variation heavy tails Levy basis mixed moving average process
2012/4/18
We consider the functional regular variation in the space $\mathbb{D}$ of c\`adl\`ag functions of multivariate mixed moving average (MMA) processes of the type $X_t = \int\int f(A, t - s) \Lambda (d A...
High-frequency sampling and kernel estimation for continuous-time moving average processes
CARMA process continuous-time moving average process discretely sampled process FICARMA process gamma kernel
2011/9/19
Abstract: Interest in continuous-time processes has increased rapidly in recent years, largely because of the high-frequency data available in many areas of application, particularly in finance and tu...
KARMA: Kalman-based autoregressive moving average modeling and inference for formant and antiformant tracking
autoregressive moving average modeling inference for formant
2011/7/19
Vocal tract resonance characteristics in acoustic speech signals are classically tracked using frame-by-frame point estimates of formant frequencies followed by candidate selection and smoothing using...
Asymptotic probability distribution of distances between local extrema of error terms of a moving average process
distance between local extremum maximum extrema probability density distribution function average random stochastic moving average
2011/6/20
Consider error terms i of a moving average process MA(q), where
i = Pq
j=0 "i−j and "i - independent identically distributed (i.i.d.) random
variables. We recognize a term i as a local max...
Multifractal detrending moving average cross-correlation analysis
cross-correlations multifractal detrended cross-correlation analysis extensive numerical experiments
2011/3/30
There are a number of situations in which several signals are simultaneously recorded in complex systems, which exhibit long-term power-law cross-correlations. The multifractal detrended cross-correla...
BSDEs with time-delayed generators of a moving average type with applications to pricing and utilities
backward stochastic differential equations time-delayed
2010/10/21
In this paper we consider backward stochastic differential equations with time-delayed generators of a moving average type. The classical and well-known framework with linear generators depending on $...
Detrending moving average algorithm for multifractals
Detrending moving average algorithm multifractals
2010/10/20
The detrending moving average (DMA) algorithm is a widely used technique to quantify the long-term correlations of non-stationary time series and the long-range correlations of fractal surfaces, which...
Long Strange Segments,Ruin Probabilities and the Effect of Memory on Moving Average Processes
Long Strange Segments Ruin Probabilities Effect Memory Moving Average Processes
2010/3/11
We obtain the rate of growth of long strange segments and the
rate of decay of infinite horizon ruin probabilities for a class of infinite moving
average processes with exponentially light tails. Th...
A maximum principle for Bugers' equation with unimodal moving average data
A maximum principle Bugers' equation unimodal moving average data
2009/9/22
The paper is devoted to a study of the extremal
rearrangement property of statistical solutions of Burgers' equation
with initial input generated by the Brownian motion or by a Poisson
process.
ON A CLASS OF Z+-VALUED AUTOREGRESSIVE MOVING AVERAGE （ARMA） PROCESSES
stationarity semigroup of probability generating functions Mittag–Leffler distribution Linnik distribution time-reversibility
2009/2/25
A convolution semigroup of probability generating functions and its related operator
⊙F are used to construct a class of stationary Z+-valued autoregressive moving average
(ARMA) processes. Several ...