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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...
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...
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...
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...
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...
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。
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).
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.
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.
In this paper, we consider a continuous-time autoregressive fractionally integrated moving average(CARFIMA) model, which is defined as the stationary solution of a stochastic differential equation dr...
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 Gr¨obner bases provide a s...
The first-order moving average model or MA(1) is given by Xt = Zt − 0Zt−1, with independent and identically distributed {Zt}. This is arguably the simplest time series model that one ca...

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