Volume 33.
(as bibtex)
73 references.
Articles
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1-12. Limit theorems for the discount sums of moving averages
Chu, Ba
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112-120. Maximum entropy models for general lag patterns
Iqelan, Bisher M.,
Boshnakov, Georgi N.
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121-130. Selection of weak VARMA models by modified Akaike's information criteria
Maïnassara, Y. Boubacar
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13-31. Frequency and phase estimation in time series with quasi periodic components
Dahlhaus, Rainer,
Paraschakis, Konstantinos
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131-151. Statistical tests for a single change in mean against long-range dependence
Pipiras, Vladas,
Baek, Changryong
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152-160. High-frequency sampling of a continuous-time ARMA process
Klüppelberg, Claudia,
Ferrazzano, Vincenzo,
Brockwell, Peter J.
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161-174. Limit theory for a general class of GARCH models with just barely infinite variance
Lin, Zheng-Yan,
Zhang, Rong-Mao
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177-192. A new frequency domain approach of testing for covariance stationarity and for periodic stationarity in multivariate linear processes
Jentsch, Carsten
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193-210. Fast continuous-discrete DAF-filters
Mazzoni, Thomas
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211-222. Improved multivariate portmanteau test
McLeod, A. Ian,
Mahdi, Esam
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223-232. Likelihood ratio tests for the structural change of an AR(p) model to a Threshold AR(p) model
Ling, Shiqing,
Zhu, Ke
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233-254. The autodependogram: a graphical device to investigate serial dependences
Nicolis, Orietta,
Punzo, Antonio,
Bagnato, Luca
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255-268. Overlapped grouping periodogram test for detecting multiple hidden periodicities in mixed spectra
Wang, Xiaolan L.,
Wong, Augustine,
Wen, Qiuzi H.
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269-275. Empirical likelihood in long-memory time series models
Yau, Chun Yip
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276-286. A note on mean squared prediction error under the unit root model with deterministic trend
Cheng, Hung-Wen,
Lin, Chien-Chih,
Yu, Shu-Hui
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287-297. Generalized information criterion
Hirukawa, Junichi,
Taniguchi, Masanobu
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298-303. On robust spectral analysis by least absolute deviations
Li, Ta-hsin
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304-311. A single series representation of multiple independent ARMA processes
Clarke, Brenton R.,
Bowden, Ross S.
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312-324. A refined efficiency rate for ordinary least squares and generalized least squares estimators for a linear trend with autoregressive errors
Lund, Robert,
Lee, Jaechoul
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32-47. Unit root bootstrap tests under infinite variance
Romo, Juan,
Moreno, Marta
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325-339. The restricted likelihood ratio test for autoregressive processes
Deo, Rohit S.,
Chen, Willa W.
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340-363. The averaged periodogram estimator for a power law in coherency
Hurvich, Clifford M.,
Sela, Rebecca J.
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365-385. Testing for parameter stability in nonlinear autoregressive models
Kamgaing, Joseph Tadjuidje,
Kirch, Claudia
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386-397. Nonlinear spectral density estimation: thresholding the correlogram
Politis, Dimitris N.,
Paparoditis, Efstathios
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398-405. Periodic autoregressive model identification using genetic algorithms
Turkman, Kamil Feridun,
Ursu, Eugen
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406-423. On robust tail index estimation for linear long-memory processes
Schell, Dieter,
Das, Bikramjit,
Beran, Jan
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424-437. Non-parametric testing for seasonally and periodically integrated processes
Osborn, Denise R.,
Castro, Tomás del Barrio
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438-457. Measuring nonlinear dependence in time-series, a distance correlation approach
Zhou, Zhou
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458-467. Estimation of regression and dynamic dependence paremeters for non-stationary multinomial time series
Sutradhar, Brajendra C.,
Loredo-Osti, J. C.
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468-483. Conditional variance estimation in regression models with long memory
Wichelhaus, Cornelia,
Kulik, Rafal
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48-60. Multi-variate stochastic volatility modelling using Wishart autoregressive processes
Triantafyllopoulos, K.
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484-502. A similarity-based approach to time-varying coefficient non-stationary autoregression
Lieberman, Offer
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503-518. Testing for parameter constancy in general causal time-series models
Kengne, William Charky
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519-529. Weak convergence to a modified fractional Brownian motion
Hualde, Javier
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530-531. The Oxford Handbook of Economic Forecasts
Hall, Alastair R.
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533-541. Limiting distribution of the score statistic under moderate deviation from a unit root in MA(1)
Yabe, Ryota
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542-553. Maximum likelihood estimation for nearly non-stationary stable autoregressive processes
Chan, Ngai Hang,
Zhang, Rong-Mao
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554-569. Change point detection in copula ARMA–GARCH Models
Lee, Sangyeol,
Lee, Jiyeon,
Na, Okyoung
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570-582. Strictly stationary solutions of ARMA equations with fractional noise
Vollenbröker, Bernd
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583-607. Extreme value analysis of optimal level-crossing prediction for linear Gaussian processes
Martin, Rodney A.
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608-619. Time-series clustering via quasi U-statistics
Pinheiro, Aluísio,
Valk, Marcio
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61-80. Efficient estimation and particle filter for max-stable processes
Zhang, Zhengjun,
Omori, Yasuhiro,
Kunihama, Tsuyoshi
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620-630. Non-parametric smoothing and prediction for nonlinear circular time series
Taylor, Charles C.,
Panzera, Agnese,
Marzio, Macro Di
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631-648. Change-point detection in panel data
Hušková, Marie,
Horváth, Lajos
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649-664. Likelihood inference for discriminating between long-memory and change-point models
Davis, Richard A.,
Yau, Chun Yip
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665-683. Inference about long run canonical correlations
Jana, Kalidas,
Hall, Alastair R.,
Dovonon, Prosper
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684-698. A new Bayesian approach to quantile autoregressive time series model estimation and forecasting
Davies, Neville,
Stander, Julian,
Cai, Yuzhi
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699-700. Statistics for Spatio-Temporal Data
Rao, T. Subba
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81-95. Weighted scatter estimation method of the GO-GARCH models
Wei, William W. S.,
Zheng, Lingyu
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863-872. Chi-squared portmanteau tests for structural VARMA models with uncorrelated errors
Katayama, Naoya
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873-879. A note on moving-average models with feedback
Li, Dong
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880-891. Least squares estimation of ARCH models with missing observations
Bahamonde, Natalia,
Bondon, Pascal
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892-902. A Family of Markov-Switching Garch Processes
Liu, Ji-Chun
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903-915. A mixed INAR(p) model
Nastić, Aleksandar S.,
Ristić, Miroslav M.
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916-934. Non-stationary autoregressive processes with infinite variance
Zhang, Rongmao,
Chan, Ngai Hang
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935-953. Subsampling inference for the autocovariances and autocorrelations of long-memory heavy- tailed linear time series
Jach, Agnieszka,
McElroy, Tucker
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954-963. First-order integer valued AR processes with zero inflated poisson innovations
Lai, Chin-Diew,
Jones, Geoff,
Jazi, Mansour Aghababaei
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96-111. Subsampling inference for the mean of heavy-tailed long-memory time series
Politis, Dimitris N.,
McElroy, Tucker,
Jach, Agnieszka
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-. Exploring dependence between brain signals in a monkey during learning
Eskandar, Emad,
Patel, Shaun,
Prado, Raquel,
Ombao, Hernando,
Gorrostieta, Cristina
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-. Changepoints in times series of counts
Kamgaing, Joseph Tadjuidje,
Kirch, Claudia,
Franke, Jürgen
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-. Biological applications of time series frequency domain clustering
Promponas, Vasilis J.,
Fokianos, Konstantinos
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-. Statistical challenges in microrheology
Fricks, John,
Hill, David B.,
McKinley, Scott A.,
Didier, Gustavo
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-. The Nicholson blowfly experiments: some history and EDA
Brillinger, David R.
-
-. Autocovariance structures for radial averages in small-angle X-ray scattering experiments
Woerd, Mark van der,
Erciulescu, Andreea,
Breidt, F. Jay
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-. Editorial: Special issue on time series analysis in the biological sciences
Ombao, Hernando,
Stoffer, David S.
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-. Statistical Methods for Trend Detection and Analysis in the Environmental Sciences
Rao, Tata Subba
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-. Non–Parametric Econometrics
Kokoszka, Piotr S.
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-. Spectral-based non-central F mixed effect models, with application to otoacoustic emissions
King, Wayne M.,
Craigmile, Peter F.,
Wei, Lai
-
-. A state space model approach for HIV infection dynamics
Chen, Rong,
Liang, Hua,
Wang, Jiabin
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-. A test for independence between a point process and an analogue signal
Pasha, Ahmed,
Solo, Victor
-
-. Quantifying the uncertainty in change points
Johansen, Adam M.,
Aston, John A. D.,
Nam, Christopher F. H.
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-. Enveloping spectral surfaces: covariate dependent spectral analysis of categorical time series
Hall, Martica,
Buysse, Daniel J.,
Stoffer, David S.,
Xiong, Shuangyan,
Krafty, Robert T.
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-. Modelling the nonlinear time dynamics of multidimensional hormonal systems
Veldhuis, Johannes D.,
Pincus, Steven M.,
Wang, Xin,
Keenan, Daniel M.