Summary of time-lags estimated from the segmented-exponential model.

Individual-level analysis of decay onset time.

Andrew E. Brennan (760351)
Maurice A. Smith (216164)

June 2015

(A) Distributions of delay parameter estimates obtained from fitting a delayed exponential to sim...

Non-gaussianity parameter.

Benjamin Partridge (13783100)
Sara Gonzalez Anton (12644095)
Reema Khorshed (13783103)
George Adams (3845035)
Constandina Pospori (8307309)
Cristina Lo Celso (8307291)
Chiu Fan Lee (12644113)

September 2022

The non-Gaussianity parameter G(Δ) shown for lag-times of up to one hour. At short times the departu...

Schematic illustration of estimating the time-delay in Model (4).

Rubao Ma (660015)
Weichao Xu (660016)
Yun Zhang (131894)
Zhongfu Ye (660017)

November 2014

The time-shift with respect to the maximum of the correlation function in the bottom panel is co...

Summary of discrete changes in the reproduction number estimated from the segmented-exponential model.

Oliver Eales (11495186)
Haowei Wang (821958)
David Haw (13164814)
Kylie E. C. Ainslie (8796752)
Caroline E. Walters (9501232)
Christina Atchison (144642)
Graham Cooke (136650)
Wendy Barclay (686216)
Helen Ward (685780)
Ara Darzi (31515)
Deborah Ashby (4113625)
Christl A. Donnelly (8446860)
Paul Elliott (27295)
Steven Riley (31524)

November 2022

Estimated R for each time period and estimated multiplicative change in R for each change in restric...

The crude and adjusted coefficients for the Den and MI models for lag times 1 to 6.

Aditya Lia Ramadona (3215079)
Yesim Tozan (3138630)
Lutfan Lazuardi (625960)
Joacim Rocklöv (296647)

April 2019

The crude and adjusted coefficients for the Den and MI models for lag times 1 to 6.</p

Depicting pseudotime-lagged causality across single-cell trajectories for accurate gene-regulatory inference [Models]

Reagor, Caleb C.
Velez-Angel, Nicolas
Hudspeth, A. J.

December 2022

This repository contains saved checkpoint files across five model replicates for DELAY.This version ...

Identifying the Most Relevant Lag with Runs

Úrsula Faura

April 2015

In this paper, we propose a nonparametric statistical tool to identify the most relevant lag in the ...

Maximum likelihood estimation on the temperature effect distribution of different time lags.

Weiping Ma (408129)
Xiaodong Sun (166163)
Yanyan Song (408130)
Fangfang Tao (408131)
Wei Feng (225281)
Yi He (408132)
Naiqing Zhao (65115)
Zhengan Yuan (336278)

April 2013

Maximum likelihood estimation on the temperature effect distribution of different time lags.</p

The tests of forecasting performance comparation between daily lagged and long lagged models (different model setting).

Peng Qin (403073)
Manying Bai (9322607)

December 2022

The tests of forecasting performance comparation between daily lagged and long lagged models (differ...

Depicting pseudotime-lagged causality across single-cell trajectories for accurate gene-regulatory inference [Datasets]

Reagor, Caleb C.
Velez-Angel, Nicolas
Hudspeth, A. J.

December 2022

This repository contains processed single-cell dataset files for DELAY.This version corresponds to D...

A classification of techniques for the estimation of the model parameters of a time delayed process

O'Dwyer, Aidan
Ringwood, John

June 1999

An extensive though scattered literature exists on the estimation of the model parameters of time de...

Estimation of transcriptional time lag.

Yuxuan Hu (398099)
Lin Gao (344965)
Kai Shi (49380)
David K. Y. Chiu (437060)

July 2013

The figure shows the estimation of transcriptional time lag. In this example, with respect to the...

Model x-displacement distributions.

Benjamin Partridge (13783100)
Sara Gonzalez Anton (12644095)
Reema Khorshed (13783103)
George Adams (3845035)
Constandina Pospori (8307309)
Cristina Lo Celso (8307291)
Chiu Fan Lee (12644113)

September 2022

Reproduction of Fig 7 for the simulated data. As in Fig 7 we show x-displacement distributions for s...

Identifying the unknown lag order in an autoregressive model in the possible presence of a single structural break

Halder, Souveek (3806227)

March 2017

Most economic data are time series in nature and one of the popular methods used to model the time s...

Time lag from the onset of known and unknown ADRs until report to the FDA for each study drug and effect of FDA advisory information on reporting time.

Masayuki Hashiguchi (707999)
Shungo Imai (834328)
Keiko Uehara (834329)
Junya Maruyama (834330)
Mikiko Shimizu (205878)
Mayumi Mochizuki (586821)

December 2015

Time lag from the onset of known and unknown ADRs until report to the FDA for each study drug and...

Individual-level analysis of decay onset time.

Andrew E. Brennan (760351)
Maurice A. Smith (216164)

June 2015

(A) Distributions of delay parameter estimates obtained from fitting a delayed exponential to sim...

Non-gaussianity parameter.

Benjamin Partridge (13783100)
Sara Gonzalez Anton (12644095)
Reema Khorshed (13783103)
George Adams (3845035)
Constandina Pospori (8307309)
Cristina Lo Celso (8307291)
Chiu Fan Lee (12644113)

September 2022

The non-Gaussianity parameter G(Δ) shown for lag-times of up to one hour. At short times the departu...

Schematic illustration of estimating the time-delay in Model (4).

Rubao Ma (660015)
Weichao Xu (660016)
Yun Zhang (131894)
Zhongfu Ye (660017)

November 2014

The time-shift with respect to the maximum of the correlation function in the bottom panel is co...

Summary of discrete changes in the reproduction number estimated from the segmented-exponential model.

Oliver Eales (11495186)
Haowei Wang (821958)
David Haw (13164814)
Kylie E. C. Ainslie (8796752)
Caroline E. Walters (9501232)
Christina Atchison (144642)
Graham Cooke (136650)
Wendy Barclay (686216)
Helen Ward (685780)
Ara Darzi (31515)
Deborah Ashby (4113625)
Christl A. Donnelly (8446860)
Paul Elliott (27295)
Steven Riley (31524)

November 2022

Estimated R for each time period and estimated multiplicative change in R for each change in restric...

The crude and adjusted coefficients for the Den and MI models for lag times 1 to 6.

Aditya Lia Ramadona (3215079)
Yesim Tozan (3138630)
Lutfan Lazuardi (625960)
Joacim Rocklöv (296647)

April 2019

The crude and adjusted coefficients for the Den and MI models for lag times 1 to 6.</p

Depicting pseudotime-lagged causality across single-cell trajectories for accurate gene-regulatory inference [Models]

Reagor, Caleb C.
Velez-Angel, Nicolas
Hudspeth, A. J.

December 2022

This repository contains saved checkpoint files across five model replicates for DELAY.This version ...

Identifying the Most Relevant Lag with Runs

Úrsula Faura

April 2015

In this paper, we propose a nonparametric statistical tool to identify the most relevant lag in the ...

Maximum likelihood estimation on the temperature effect distribution of different time lags.

Weiping Ma (408129)
Xiaodong Sun (166163)
Yanyan Song (408130)
Fangfang Tao (408131)
Wei Feng (225281)
Yi He (408132)
Naiqing Zhao (65115)
Zhengan Yuan (336278)

April 2013

Maximum likelihood estimation on the temperature effect distribution of different time lags.</p

The tests of forecasting performance comparation between daily lagged and long lagged models (different model setting).

Peng Qin (403073)
Manying Bai (9322607)

December 2022

The tests of forecasting performance comparation between daily lagged and long lagged models (differ...

Depicting pseudotime-lagged causality across single-cell trajectories for accurate gene-regulatory inference [Datasets]

Reagor, Caleb C.
Velez-Angel, Nicolas
Hudspeth, A. J.

December 2022

This repository contains processed single-cell dataset files for DELAY.This version corresponds to D...

A classification of techniques for the estimation of the model parameters of a time delayed process

O'Dwyer, Aidan
Ringwood, John

June 1999

An extensive though scattered literature exists on the estimation of the model parameters of time de...

Estimation of transcriptional time lag.

Yuxuan Hu (398099)
Lin Gao (344965)
Kai Shi (49380)
David K. Y. Chiu (437060)

July 2013

The figure shows the estimation of transcriptional time lag. In this example, with respect to the...

Model x-displacement distributions.

Benjamin Partridge (13783100)
Sara Gonzalez Anton (12644095)
Reema Khorshed (13783103)
George Adams (3845035)
Constandina Pospori (8307309)
Cristina Lo Celso (8307291)
Chiu Fan Lee (12644113)

September 2022

Reproduction of Fig 7 for the simulated data. As in Fig 7 we show x-displacement distributions for s...

Identifying the unknown lag order in an autoregressive model in the possible presence of a single structural break

Halder, Souveek (3806227)

March 2017

Most economic data are time series in nature and one of the popular methods used to model the time s...

Time lag from the onset of known and unknown ADRs until report to the FDA for each study drug and effect of FDA advisory information on reporting time.

Masayuki Hashiguchi (707999)
Shungo Imai (834328)
Keiko Uehara (834329)
Junya Maruyama (834330)
Mikiko Shimizu (205878)
Mayumi Mochizuki (586821)

December 2015

Time lag from the onset of known and unknown ADRs until report to the FDA for each study drug and...

Individual-level analysis of decay onset time.

Andrew E. Brennan (760351)
Maurice A. Smith (216164)

June 2015

(A) Distributions of delay parameter estimates obtained from fitting a delayed exponential to sim...

Non-gaussianity parameter.

Benjamin Partridge (13783100)
Sara Gonzalez Anton (12644095)
Reema Khorshed (13783103)
George Adams (3845035)
Constandina Pospori (8307309)
Cristina Lo Celso (8307291)
Chiu Fan Lee (12644113)

September 2022

The non-Gaussianity parameter G(Δ) shown for lag-times of up to one hour. At short times the departu...

Schematic illustration of estimating the time-delay in Model (4).

Rubao Ma (660015)
Weichao Xu (660016)
Yun Zhang (131894)
Zhongfu Ye (660017)

November 2014

The time-shift with respect to the maximum of the correlation function in the bottom panel is co...

Summary of time-lags estimated from the segmented-exponential model.

Abstract

Extracted data

Summary of time-lags estimated from the segmented-exponential model.

Abstract

Extracted data

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