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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...
Forecasting Equity Premium: Global Historical Average versus Local Historical Average and Constraints
Equity premium Nonparametric local historical average model Positivity con- straint Bagging
2016/1/25
The equity premium, return on equity minus return on risk-free asset, is expected to be positive. We consider imposing such positivity constraint in local historical average (LHA) in nonparametric ker...
Forecasting Equity Premium: Global Historical Average versus Local Historical Average and Constraints
Equity premium Nonparametric local historical average model Positivity con- straint Bagging Model averaging
2016/1/20
The equity premium, return on equity minus return on risk-free asset, is expected to be positive. We consider imposing such positivity constraint in local historical average (LHA) in nonparametric ker...
Estimating Average Causal Effects Under Interference Between Units
Estimating Average Causal Effects Interference Between Units
2013/6/14
This paper presents a randomization-based framework for estimating causal effects under interference between units. We develop the case of estimating average unit-level causal effects from a randomize...
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...
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...
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...
On the convergence rate in the central limit theorem of some functions of the average of independent random variables
the convergence rate the central limit theorem independent random variables
2009/9/24
This note gives the convergence rate in the central
limit theorem and the random central limit theorem of some
functions of the average of independent random variables.
Conditioned limit theorems for functions of the average of i.i.d. random variables
Conditioned limit theorems i.i.d. random variables
2009/9/24
Conditioned limit theorems for functions of the average of i.i.d. random variables。
On the rate of convergence in the central limit theorem for functions of the average of independent random variables
the rate of convergence the central limit theorem independent random variables
2009/9/23
We give tbe rate of convergence in the central limit
theorem and the random central limit theorem for functions belonging
to the class I of all real differentiable functions g such that
gr E L(1).
On Levy's and Dudley's type estimates of the rate convergence in the central limit theorem for functions of the average of independent random variables
Levy's and Dudley's type estimates the rate convergence the central limit theorem
2009/9/23
The Levy and the Dudley metrics are used to give
estimates of the rate convergence in the centrat- limit theorem for
some functions of the average of independent random variables.
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 ...