Efficient Bayesian inference for natural time series using ARFIMA processes

Graves, T.; Gramacy, R. B.; Franzke, C. L. E.; Watkins, N. W.

doi:10.5194/npg-22-679-2015

Articles | Volume 22, issue 6

https://doi.org/10.5194/npg-22-679-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/npg-22-679-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 22, issue 6

Research article

|

18 Nov 2015

Research article |

| 18 Nov 2015

Efficient Bayesian inference for natural time series using ARFIMA processes

T. Graves, R. B. Gramacy, C. L. E. Franzke, and N. W. Watkins

Viewed

Total article views: 3,762 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
2,114	1,439	209	3,762	254	286

HTML: 2,114
PDF: 1,439
XML: 209
Total: 3,762
BibTeX: 254
EndNote: 286

Views and downloads (calculated since 27 Mar 2015)

Month	HTML	PDF	XML	Total
Mar 2015	19	24	1	44
Apr 2015	46	103	1	150
May 2015	13	11	0	24
Jun 2015	30	8	3	41
Jul 2015	25	21	2	48
Aug 2015	10	8	3	21
Sep 2015	7	6	1	14
Oct 2015	13	7	4	24
Nov 2015	69	51	3	123
Dec 2015	21	38	0	59
Jan 2016	44	29	2	75
Feb 2016	28	23	1	52
Mar 2016	24	11	1	36
Apr 2016	9	7	0	16
May 2016	6	35	0	41
Jun 2016	8	9	0	17
Jul 2016	11	10	2	23
Aug 2016	10	8	0	18
Sep 2016	13	9	0	22
Oct 2016	12	9	1	22
Nov 2016	10	3	0	13
Dec 2016	1	0	1
Jan 2017	11	4	0	15
Feb 2017	4	1	0	5
Mar 2017	20	7	1	28
Apr 2017	22	9	1	32
May 2017	30	7	0	37
Jun 2017	21	0	21
Jul 2017	16	10	1	27
Aug 2017	9	7	0	16
Sep 2017	12	8	1	21
Oct 2017	11	7	2	20
Nov 2017	9	7	0	16
Dec 2017	22	14	4	40
Jan 2018	24	18	14	56
Feb 2018	19	3	1	23
Mar 2018	17	11	4	32
Apr 2018	19	9	5	33
May 2018	13	10	3	26
Jun 2018	17	16	7	40
Jul 2018	21	12	4	37
Aug 2018	19	12	4	35
Sep 2018	9	12	3	24
Oct 2018	21	12	8	41
Nov 2018	18	11	1	30
Dec 2018	15	4	2	21
Jan 2019	18	12	3	33
Feb 2019	20	7	4	31
Mar 2019	18	5	2	25
Apr 2019	21	11	1	33
May 2019	13	4	4	21
Jun 2019	13	7	1	21
Jul 2019	11	15	2	28
Aug 2019	11	8	2	21
Sep 2019	10	9	1	20
Oct 2019	10	7	1	18
Nov 2019	8	4	2	14
Dec 2019	14	8	2	24
Jan 2020	22	10	3	35
Feb 2020	16	8	2	26
Mar 2020	13	11	1	25
Apr 2020	14	1	0	15
May 2020	10	6	1	17
Jun 2020	25	12	1	38
Jul 2020	29	15	8	52
Aug 2020	6	4	7	17
Sep 2020	12	4	0	16
Oct 2020	12	11	0	23
Nov 2020	10	5	0	15
Dec 2020	11	9	0	20
Jan 2021	26	14	0	40
Feb 2021	10	11	0	21
Mar 2021	7	12	0	19
Apr 2021	10	13	0	23
May 2021	6	14	0	20
Jun 2021	3	6	0	9
Jul 2021	10	7	0	17
Aug 2021	6	7	0	13
Sep 2021	10	16	1	27
Oct 2021	6	38	0	44
Nov 2021	19	23	1	43
Dec 2021	12	16	2	30
Jan 2022	7	17	0	24
Feb 2022	11	4	3	18
Mar 2022	9	8	1	18
Apr 2022	5	4	1	10
May 2022	9	4	1	14
Jun 2022	5	3	2	10
Jul 2022	10	4	1	15
Aug 2022	9	6	4	19
Sep 2022	1	5	2	8
Oct 2022	13	1	0	14
Nov 2022	13	9	1	23
Dec 2022	24	16	3	43
Jan 2023	25	15	1	41
Feb 2023	15	7	1	23
Mar 2023	19	7	1	27
Apr 2023	9	4	0	13
May 2023	4	8	1	13
Jun 2023	6	7	1	14
Jul 2023	8	5	0	13
Aug 2023	7	4	2	13
Sep 2023	7	9	0	16
Oct 2023	10	5	0	15
Nov 2023	6	2	0	8
Dec 2023	21	4	1	26
Jan 2024	4	4	0	8
Feb 2024	12	7	0	19
Mar 2024	6	3	0	9
Apr 2024	16	11	6	33
May 2024	16	17	4	37
Jun 2024	76	8	2	86
Jul 2024	17	10	1	28
Aug 2024	47	5	4	56
Sep 2024	8	10	1	19
Oct 2024	17	12	1	30
Nov 2024	9	5	0	14
Dec 2024	13	5	1	19
Jan 2025	6	9	0	15
Feb 2025	38	4	1	43
Mar 2025	21	8	2	31
Apr 2025	27	8	0	35
May 2025	24	10	1	35
Jun 2025	52	16	1	69
Jul 2025	22	14	0	36
Aug 2025	21	17	2	40
Sep 2025	26	20	3	49
Oct 2025	28	24	5	57
Nov 2025	31	25	2	58
Dec 2025	24	18	2	44

Cumulative views and downloads (calculated since 27 Mar 2015)

Month	HTML	PDF	XML	Total
Mar 2015	19	24	1	44
Apr 2015	46	103	1	150
May 2015	13	11	0	24
Jun 2015	30	8	3	41
Jul 2015	25	21	2	48
Aug 2015	10	8	3	21
Sep 2015	7	6	1	14
Oct 2015	13	7	4	24
Nov 2015	69	51	3	123
Dec 2015	21	38	0	59
Jan 2016	44	29	2	75
Feb 2016	28	23	1	52
Mar 2016	24	11	1	36
Apr 2016	9	7	0	16
May 2016	6	35	0	41
Jun 2016	8	9	0	17
Jul 2016	11	10	2	23
Aug 2016	10	8	0	18
Sep 2016	13	9	0	22
Oct 2016	12	9	1	22
Nov 2016	10	3	0	13
Dec 2016	1	0	1
Jan 2017	11	4	0	15
Feb 2017	4	1	0	5
Mar 2017	20	7	1	28
Apr 2017	22	9	1	32
May 2017	30	7	0	37
Jun 2017	21	0	21
Jul 2017	16	10	1	27
Aug 2017	9	7	0	16
Sep 2017	12	8	1	21
Oct 2017	11	7	2	20
Nov 2017	9	7	0	16
Dec 2017	22	14	4	40
Jan 2018	24	18	14	56
Feb 2018	19	3	1	23
Mar 2018	17	11	4	32
Apr 2018	19	9	5	33
May 2018	13	10	3	26
Jun 2018	17	16	7	40
Jul 2018	21	12	4	37
Aug 2018	19	12	4	35
Sep 2018	9	12	3	24
Oct 2018	21	12	8	41
Nov 2018	18	11	1	30
Dec 2018	15	4	2	21
Jan 2019	18	12	3	33
Feb 2019	20	7	4	31
Mar 2019	18	5	2	25
Apr 2019	21	11	1	33
May 2019	13	4	4	21
Jun 2019	13	7	1	21
Jul 2019	11	15	2	28
Aug 2019	11	8	2	21
Sep 2019	10	9	1	20
Oct 2019	10	7	1	18
Nov 2019	8	4	2	14
Dec 2019	14	8	2	24
Jan 2020	22	10	3	35
Feb 2020	16	8	2	26
Mar 2020	13	11	1	25
Apr 2020	14	1	0	15
May 2020	10	6	1	17
Jun 2020	25	12	1	38
Jul 2020	29	15	8	52
Aug 2020	6	4	7	17
Sep 2020	12	4	0	16
Oct 2020	12	11	0	23
Nov 2020	10	5	0	15
Dec 2020	11	9	0	20
Jan 2021	26	14	0	40
Feb 2021	10	11	0	21
Mar 2021	7	12	0	19
Apr 2021	10	13	0	23
May 2021	6	14	0	20
Jun 2021	3	6	0	9
Jul 2021	10	7	0	17
Aug 2021	6	7	0	13
Sep 2021	10	16	1	27
Oct 2021	6	38	0	44
Nov 2021	19	23	1	43
Dec 2021	12	16	2	30
Jan 2022	7	17	0	24
Feb 2022	11	4	3	18
Mar 2022	9	8	1	18
Apr 2022	5	4	1	10
May 2022	9	4	1	14
Jun 2022	5	3	2	10
Jul 2022	10	4	1	15
Aug 2022	9	6	4	19
Sep 2022	1	5	2	8
Oct 2022	13	1	0	14
Nov 2022	13	9	1	23
Dec 2022	24	16	3	43
Jan 2023	25	15	1	41
Feb 2023	15	7	1	23
Mar 2023	19	7	1	27
Apr 2023	9	4	0	13
May 2023	4	8	1	13
Jun 2023	6	7	1	14
Jul 2023	8	5	0	13
Aug 2023	7	4	2	13
Sep 2023	7	9	0	16
Oct 2023	10	5	0	15
Nov 2023	6	2	0	8
Dec 2023	21	4	1	26
Jan 2024	4	4	0	8
Feb 2024	12	7	0	19
Mar 2024	6	3	0	9
Apr 2024	16	11	6	33
May 2024	16	17	4	37
Jun 2024	76	8	2	86
Jul 2024	17	10	1	28
Aug 2024	47	5	4	56
Sep 2024	8	10	1	19
Oct 2024	17	12	1	30
Nov 2024	9	5	0	14
Dec 2024	13	5	1	19
Jan 2025	6	9	0	15
Feb 2025	38	4	1	43
Mar 2025	21	8	2	31
Apr 2025	27	8	0	35
May 2025	24	10	1	35
Jun 2025	52	16	1	69
Jul 2025	22	14	0	36
Aug 2025	21	17	2	40
Sep 2025	26	20	3	49
Oct 2025	28	24	5	57
Nov 2025	31	25	2	58
Dec 2025	24	18	2	44

Latest update: 26 Dec 2025