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Fractional iterated Ornstein-Uhlenbeck Processes
(Institute of Mathematical Statistics, 2019)
We present a Gaussian process that arises from the iteration of p fractional Ornstein–Uhlenbeck processes generated by the same fractional Brownian motion. When the values of the parameters defining the iteration are ...
On the sample mean of locally stationary long-memory processes
(ELSEVIER SCIENCE BV, 2010)
Some asymptotic statistical properties of the sample mean of a class locally stationary long-memory process are studied in this paper. Conditions for consistency are investigated and precise convergence rates of the variance ...
Redefining Single-Trial Memories in the Honeybee
(Elsevier, 2020-02)
Research on honeybee memory has led to a widely accepted model in which a single pairing of an odor stimulus with sucrose induces memories that are independent of protein synthesis but is unable to form protein-synthesis-dependent ...
Analysis of the correlation structure of square time series
(WILEY, 2004)
This paper analyses the asymptotic behaviour of the autocorrelation structure exhibited by squares of time series with a Wold expansion where the input error is a sequence of random variables with mean zero and finite ...
A class of antipersistent processes
(WILEY, 2007)
We introduce a class of stationary processes characterized by the behaviour of their infinite moving average parameters. We establish the asymptotic behaviour of the covariance function and the behaviour around zero of the ...
Exams at classroom have bidirectional effects on the long-term memory of an unrelated graphical task
(Nature Publishing Group, 2018-11)
The influence of a given event on long-term memory formation of another one has been a relevant topic of study in the neuroscience field in recent years. Students at school learn contents which are usually tested in exam ...
Heterozygous Che-1 KO mice show deficiencies in object recognition memory persistence
(Elsevier Ireland, 2016-10)
Transcriptional regulation is a key process in the formation of long-term memories. Che-1 is a protein involved in the regulation of gene transcription that has recently been proved to bind the transcription factor NF-κB, ...
Minimum distance estimation of ARFIMA processes
(Elsevier Science BvAmsterdamHolanda, 2013)
Pre-training Long Short-term Memory neural networks for efficient regression in artificial speech postfiltering
(2018)
Several attempts to enhance statistical parametric speech synthesis have contemplated deep-learning-based postfilters, which learn to perform a mapping of the synthetic speech parameters to the natural ones, reducing the ...