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4th Workshop on Goodness‐of‐Fit, Change‐Point, and Related Problems, Trento, 2019 |
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A FUNCTIONAL VERSION OF THE ARCH MODEL |
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13 |
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74 |
A LIMIT THEOREM FOR MILDLY EXPLOSIVE AUTOREGRESSION WITH STABLE ERRORS |
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1 |
1 |
7 |
0 |
1 |
1 |
40 |
A New Class of Change Point Test Statistics of Rényi Type |
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1 |
13 |
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1 |
3 |
33 |
A bootstrap approximation to a unit root test statistic for heavy-tailed observations |
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14 |
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61 |
A functional time series analysis of forward curves derived from commodity futures |
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1 |
4 |
24 |
2 |
2 |
7 |
64 |
A goodness-of-fit test for exponential families |
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7 |
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46 |
A note on dichotomy theorems for integrals of stable processes |
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4 |
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26 |
A note on strong approximations of multivariate empirical processes |
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14 |
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1 |
46 |
A note on the change-point problem for angular data |
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5 |
0 |
1 |
1 |
46 |
A study of data-driven momentum and disposition effects in the Chinese stock market by functional data analysis |
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14 |
0 |
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1 |
48 |
ASYMPTOTIC PROPERTIES OF NONPARAMETRIC FRONTIER ESTIMATORS |
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28 |
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65 |
ASYMPTOTIC PROPERTIES OF THE CUSUM ESTIMATOR FOR THE TIME OF CHANGE IN LINEAR PANEL DATA MODELS |
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15 |
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0 |
47 |
ASYMPTOTICS FOR GARCH SQUARED RESIDUAL CORRELATIONS |
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1 |
1 |
6 |
1 |
2 |
2 |
76 |
Adaptive bandwidth selection in the long run covariance estimator of functional time series |
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0 |
0 |
7 |
0 |
1 |
6 |
39 |
Almost sure central limit theorems under minimal conditions |
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0 |
0 |
16 |
1 |
1 |
2 |
51 |
An application of the maximum likelihood test to the change-point problem |
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13 |
1 |
2 |
4 |
53 |
An energy saving atmospheric evaporator utilizing low grade thermal or waste energy |
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1 |
2 |
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1 |
23 |
Approximation for Abel sums of independent, identically distributed random variables |
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9 |
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1 |
42 |
Approximation of intermediate quantile processes |
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7 |
0 |
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32 |
Approximations for weighted bootstrap processes with an application |
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17 |
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1 |
1 |
65 |
Approximations of weighted empirical and quantile processes |
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0 |
0 |
19 |
1 |
1 |
2 |
40 |
Asymptotics for Lp-norms of kernel estimators of densities |
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2 |
13 |
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4 |
35 |
Asymptotics for empirical eigenvalue processes in high-dimensional linear factor models |
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2 |
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1 |
31 |
Asymptotics of conditional empirical processes |
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1 |
18 |
1 |
1 |
2 |
50 |
Asymptotics of the Lp-norms of density estimators in the first-order autoregressive models |
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3 |
0 |
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39 |
Asymptotics of the Lp-norms of density estimators in the first-order autoregressive models |
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9 |
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0 |
0 |
33 |
Between local and global logarithmic averages |
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2 |
1 |
1 |
1 |
19 |
Breaks in term structures: Evidence from the oil futures markets |
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1 |
1 |
1 |
1 |
2 |
3 |
3 |
CONVERGENCE OF INTEGRAL FUNCTIONALS OF STOCHASTIC PROCESSES |
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36 |
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0 |
1 |
92 |
CONVERGENCE OF THE EMPIRICAL AND QUANTILE DISTRIBUTIONS TO POISSON MEASURES |
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2 |
0 |
0 |
0 |
16 |
Change in autoregressive processes |
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0 |
0 |
5 |
0 |
0 |
1 |
38 |
Change point analysis of covariance functions: A weighted cumulative sum approach |
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0 |
1 |
9 |
1 |
2 |
5 |
24 |
Change point detection in heteroscedastic time series |
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0 |
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11 |
0 |
0 |
0 |
51 |
Change point detection in high dimensional data with U-statistics |
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0 |
0 |
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1 |
2 |
2 |
Change point tests in functional factor models with application to yield curves |
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0 |
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3 |
0 |
0 |
1 |
21 |
Change-Point Detection in Angular Data |
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0 |
0 |
14 |
0 |
0 |
0 |
71 |
Change-Point Detection in Long-Memory Processes |
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0 |
0 |
21 |
0 |
0 |
1 |
56 |
Change-point detection in multinomial data using phi-divergence test statistics |
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0 |
14 |
1 |
2 |
3 |
52 |
Change-point detection in panel data |
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0 |
3 |
55 |
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0 |
4 |
158 |
Change-point monitoring in linear models |
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0 |
0 |
41 |
1 |
1 |
5 |
244 |
Changepoint Detection in Heteroscedastic Random Coefficient Autoregressive Models |
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1 |
2 |
0 |
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1 |
4 |
Change‐Point Detection in the Conditional Correlation Structure of Multivariate Volatility Models |
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0 |
0 |
4 |
0 |
0 |
0 |
17 |
Comments on: Shape-based functional data analysis by Wu, Huang and Srivastava |
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0 |
0 |
0 |
0 |
0 |
1 |
1 |
Confidence bands for quantile function under random censorship |
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0 |
0 |
9 |
1 |
1 |
2 |
32 |
Convergence of integrals of uniform empirical and quantile processes |
0 |
0 |
2 |
19 |
0 |
1 |
5 |
52 |
Darling-Erdos-type theorems for sums of Gaussian variables with long-range dependence |
0 |
0 |
0 |
12 |
0 |
0 |
1 |
42 |
Delay time in sequential detection of change |
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0 |
1 |
34 |
0 |
0 |
4 |
92 |
Delay times of sequential procedures for multiple time series regression models |
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0 |
1 |
37 |
1 |
2 |
7 |
179 |
Detecting at-Most-m Changes in Linear Regression Models |
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0 |
0 |
3 |
1 |
2 |
2 |
26 |
Detecting changes in functional linear models |
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0 |
0 |
0 |
0 |
0 |
0 |
13 |
Detecting changes in the mean of functional observations |
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0 |
1 |
33 |
2 |
2 |
3 |
151 |
Detecting early or late changes in linear models with heteroscedastic errors |
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0 |
0 |
2 |
0 |
0 |
2 |
6 |
Detection of Changes in Linear Sequences |
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0 |
0 |
17 |
0 |
0 |
0 |
62 |
ESTIMATION FROM A LENGTH-BIASED DISTRIBUTION |
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0 |
0 |
3 |
0 |
0 |
0 |
12 |
ESTIMATION OF THE MAXIMAL MOMENT EXPONENT OF A GARCH(1,1) SEQUENCE |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
47 |
ESTIMATORS AND TESTS FOR CHANGE IN VARIANCES |
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0 |
0 |
41 |
0 |
1 |
1 |
89 |
Effect of aggregation on estimators in AR(1) sequence |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
54 |
Estimates for the probability of ruin starting with a large initial reserve |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
34 |
Estimation in Random Coefficient Autoregressive Models |
0 |
0 |
1 |
173 |
1 |
1 |
4 |
381 |
Estimation in nonstationary random coefficient autoregressive models |
0 |
0 |
0 |
38 |
0 |
0 |
1 |
107 |
Estimation of a change-point in the mean function of functional data |
0 |
0 |
0 |
29 |
0 |
0 |
2 |
85 |
Estimation of influence functions |
0 |
1 |
1 |
6 |
0 |
1 |
1 |
37 |
Estimation of the mean of functional time series and a two-sample problem |
0 |
0 |
3 |
18 |
0 |
0 |
3 |
62 |
Extensions of some classical methods in change point analysis |
0 |
0 |
2 |
36 |
2 |
2 |
8 |
131 |
Functional Generalized Autoregressive Conditional Heteroskedasticity |
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0 |
0 |
5 |
0 |
0 |
4 |
44 |
Functional data analysis with increasing number of projections |
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0 |
0 |
6 |
1 |
2 |
2 |
48 |
How large must be the difference between local time and mesure du voisinage of Brownian motion? |
0 |
0 |
0 |
6 |
0 |
1 |
2 |
34 |
How to identify the different phases of stock market bubbles statistically? |
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0 |
1 |
4 |
0 |
2 |
6 |
15 |
INTEGRAL TESTS FOR SUPREMA OF KIEFER PROCESSES WITH APPLICATION |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
19 |
Inference for Functional Data with Applications by Lajos Horváth and Piotr Kokoszka |
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0 |
0 |
9 |
1 |
3 |
9 |
68 |
Inference in functional factor models with applications to yield curves |
0 |
0 |
0 |
4 |
0 |
0 |
2 |
10 |
Invariance principles for changepoint problems |
0 |
0 |
1 |
33 |
1 |
1 |
2 |
78 |
LARGE SAMPLE DISTRIBUTION OF WEIGHTED SUMS OF ARCH(p) SQUARED RESIDUAL CORRELATIONS |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
39 |
LIMIT LAWS IN TRANSACTION-LEVEL ASSET PRICE MODELS |
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0 |
1 |
5 |
0 |
0 |
1 |
53 |
Limit Theorems for Logarithmic Averages of Fractional Brownian Motions |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Limit results for the empirical process of squared residuals in GARCH models |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
36 |
Limit theorems for change in linear regression |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
57 |
Limit theorems for permutations of empirical processes with applications to change point analysis |
0 |
0 |
1 |
16 |
0 |
0 |
4 |
62 |
Limit theorems for short distances in |
0 |
0 |
0 |
2 |
1 |
2 |
2 |
67 |
Logarithmic averages of stable random variables are asymptotically normal |
0 |
0 |
0 |
2 |
0 |
1 |
1 |
18 |
Lp-functionals for change point detection in random coefficient autoregressive models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
MONITORING CONSTANCY OF VARIANCE IN CONDITIONALLY HETEROSKEDASTIC TIME SERIES |
0 |
0 |
0 |
34 |
0 |
0 |
1 |
86 |
Merits and Drawbacks of Variance Targeting in GARCH Models |
0 |
0 |
2 |
26 |
0 |
1 |
4 |
112 |
Monitoring shifts in mean: Asymptotic normality of stopping times |
0 |
0 |
0 |
16 |
0 |
0 |
1 |
79 |
ON DISTINGUISHING BETWEEN RANDOM WALK AND CHANGE IN THE MEAN ALTERNATIVES |
0 |
0 |
0 |
20 |
1 |
1 |
1 |
82 |
On Functional Versions of the Arc-Sine Law |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
On best possible approximations of local time |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
39 |
On sequential detection of parameter changes in linear regression |
1 |
1 |
1 |
29 |
1 |
1 |
4 |
100 |
On the Extremal Theory of Continued Fractions |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
On the Rate of Approximations for Maximum Likelihood Tests in Change-Point Models |
0 |
0 |
0 |
27 |
3 |
3 |
3 |
74 |
On the asymptotic distributions of weighted uniform multivariate empirical processes |
0 |
0 |
0 |
8 |
0 |
1 |
1 |
32 |
On the asymptotic normality of kernel estimators of the long run covariance of functional time series |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
21 |
On the best approximation for bootstrapped empirical processes |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
33 |
On the central limit theorem for modulus trimmed sums |
0 |
0 |
0 |
3 |
1 |
1 |
1 |
28 |
On the estimation of spread rate for a biological population |
0 |
0 |
0 |
5 |
0 |
1 |
1 |
31 |
On the tail behaviour of quantile processes |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
22 |
Rate of convergence in limit theorems for Brownian excursions |
0 |
0 |
0 |
2 |
1 |
1 |
1 |
15 |
Rejoinder on: Extensions of some classical methods in change point analysis |
0 |
0 |
1 |
6 |
1 |
1 |
3 |
28 |
Rescaled range analysis in the presence of stochastic trend |
0 |
0 |
0 |
23 |
0 |
0 |
2 |
109 |
Rényi-type empirical processes |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
45 |
SEQUENTIAL CHANGE-POINT DETECTION IN GARCH(p,q) MODELS |
1 |
1 |
4 |
62 |
2 |
2 |
5 |
176 |
SEQUENTIAL MONITORING OF CHANGES IN DYNAMIC LINEAR MODELS, APPLIED TO THE U.S. HOUSING MARKET |
0 |
3 |
5 |
13 |
0 |
3 |
8 |
20 |
SEQUENTIAL TESTING FOR THE STABILITY OF HIGH-FREQUENCY PORTFOLIO BETAS |
0 |
0 |
2 |
16 |
0 |
0 |
2 |
93 |
SUP-TESTS FOR LINEARITY IN A GENERAL NONLINEAR AR(1) MODEL |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
74 |
Sample and Implied Volatility in GARCH Models |
0 |
0 |
1 |
59 |
0 |
0 |
1 |
198 |
Segmenting mean-nonstationary time series via trending regressions |
0 |
0 |
0 |
24 |
0 |
0 |
1 |
129 |
Sequential Tests and Change Detection in the Covariance Structure of Weakly Stationary Time Series |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
Sequential monitoring for changes from stationarity to mild non-stationarity |
0 |
0 |
0 |
9 |
0 |
1 |
1 |
35 |
Short distances on the line |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
15 |
Stability and instability of local time of random walk in random environment |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
15 |
Statistical inference in a random coefficient panel model |
0 |
0 |
1 |
35 |
0 |
1 |
4 |
157 |
Strong approximation of certain stopped sums |
1 |
1 |
1 |
9 |
1 |
1 |
1 |
26 |
Strong approximation of renewal processes |
0 |
0 |
0 |
16 |
0 |
1 |
1 |
41 |
Strong approximations of the quantile process of the product-limit estimator |
0 |
0 |
0 |
19 |
0 |
0 |
1 |
77 |
Structural breaks in panel data: Large number of panels and short length time series |
0 |
1 |
6 |
33 |
0 |
2 |
9 |
78 |
Structural breaks in time series |
3 |
3 |
18 |
127 |
5 |
7 |
30 |
251 |
TESTING EQUALITY OF MEANS WHEN THE OBSERVATIONS ARE FROM FUNCTIONAL TIME SERIES |
0 |
0 |
0 |
26 |
0 |
1 |
3 |
58 |
TESTING GOODNESS OF FIT BASED ON DENSITIES OF GARCH INNOVATIONS |
0 |
0 |
0 |
26 |
0 |
0 |
0 |
61 |
TESTS OF FIT FOR COMPOSITE HYPOTHESES WITH CENSORED DATA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
9 |
Test of independence for functional data |
0 |
0 |
2 |
19 |
0 |
0 |
5 |
86 |
Testing Stability in Functional Event Observations with an Application to IPO Performance |
0 |
0 |
1 |
1 |
0 |
1 |
4 |
5 |
Testing for Changes in Multivariate Dependent Observations with an Application to Temperature Changes |
0 |
1 |
1 |
18 |
1 |
2 |
3 |
73 |
Testing for changes in linear models using weighted residuals |
0 |
0 |
1 |
2 |
1 |
2 |
3 |
8 |
Testing for independence between functional time series |
0 |
1 |
2 |
32 |
2 |
5 |
14 |
148 |
Testing for parameter constancy in GARCH(p,q) models |
0 |
0 |
0 |
34 |
0 |
0 |
0 |
106 |
Testing for randomness in a random coefficient autoregression model |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
26 |
Testing for stochastic dominance using the weighted McFadden-type statistic |
0 |
0 |
0 |
37 |
0 |
0 |
1 |
165 |
Testing for structural change of AR model to threshold AR model |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
40 |
Testing normality of data on a multivariate grid |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
12 |
Testing stationarity of functional time series |
0 |
1 |
4 |
108 |
1 |
4 |
13 |
336 |
Testing the Equality of Covariance Operators in Functional Samples |
0 |
0 |
0 |
6 |
1 |
1 |
1 |
45 |
Testing the stability of the functional autoregressive process |
0 |
0 |
0 |
53 |
0 |
2 |
2 |
166 |
Tests of Normality of Functional Data |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
20 |
The central limit theorem for sums of trimmed variables with heavy tails |
0 |
0 |
0 |
18 |
1 |
1 |
1 |
51 |
The functional central limit theorem for a family of GARCH observations with applications |
0 |
0 |
0 |
21 |
0 |
0 |
0 |
66 |
The limit distributions of likelihood ratio and cumulative sum tests for a change in a binomial probability |
0 |
0 |
0 |
16 |
1 |
1 |
1 |
80 |
The logarithmic average of sample extremes is asymptotically normal |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
44 |
The maximally selected likelihood ratio test in random coefficient models |
0 |
1 |
1 |
1 |
0 |
2 |
2 |
2 |
The rate of consistency of the quasi-maximum likelihood estimator |
0 |
1 |
1 |
50 |
0 |
1 |
1 |
143 |
The rate of strong uniform consistency for the multivariate product-limit estimator |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
33 |
The use of a thermal energy recycle unit in conjunction with a basin-type solar still for enhanced productivity |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
22 |
Time-varying beta in functional factor models: Evidence from China |
0 |
0 |
0 |
7 |
0 |
1 |
2 |
38 |
Variable Selection Based Testing for Parameter Changes in Regression with Autoregressive Dependence |
0 |
0 |
1 |
1 |
2 |
3 |
5 |
5 |
Variance Targeting Estimation of Multivariate GARCH Models |
1 |
1 |
1 |
18 |
3 |
3 |
8 |
94 |
Weak invariance principles for sums of dependent random functions |
0 |
0 |
1 |
14 |
0 |
0 |
3 |
48 |
Weight functions and pathwise local central limit theorems |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
24 |
Total Journal Articles |
10 |
21 |
92 |
2,409 |
54 |
108 |
323 |
8,758 |