Konstantinos Fokianos

Statistics and Probability · 2003–2021

A researcher in the Science corpus: 14 papers; trusts 77 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 140 citations into it; #1,601 of 12,932 by trust here, #1,962 by citations
• Finance — 83 citations into it; #1,475 of 10,518 by trust here, #2,897 by citations
• Artificial Intelligence — 59 citations into it; #11,339 of 35,345 by trust here, #20,377 by citations
• Economics and Econometrics — 47 citations into it; #17,178 of 23,481 by trust here, #19,308 by citations
• Statistical Learning Theory — 8 citations into it
• Management Science and Operations Research — 8 citations into it
• Molecular Biology — 7 citations into it; #6,207 of 17,773 by trust here, #14,833 by citations
• Signal Processing — 7 citations into it

Whom Konstantinos Fokianos trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Eric R. Ziegel
2. B. Ray
3. Richard A. Davis
4. Fukang Zhu
5. Tim Bollerslev
6. Christian H. Weiβ
7. Robert F. Engle
8. Michael H. Neumann
9. Yunwei Cui
10. Paul Doukhan

Who trusts Konstantinos Fokianos overall

1. Jiwon Kang
2. Fukang Zhu
3. Sangyeol Lee
4. Jürgen Franke
5. Miguel de Carvalho
6. Richard A. Davis
7. Youngmi Lee
8. Dag Tjøstheim
9. Corrado de Fabritiis
10. Roland Fried

Papers from Konstantinos Fokianos's perspective

Ordered by how strongly the researchers Konstantinos Fokianos trusts endorse each paper. Same corpus, a different order for every researcher.

1. Generalized autoregressive conditional heteroskedasticity
2. Integer‐Valued GARCH Process
3. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation
4. Markov Chains and Stochastic Stability
5. Generalized Autoregressive Moving Average Models
6. Martingale Limit Theory and Its Application
7. A negative binomial model for time series of counts
8. Statistics for long-memory processes
9. Theory & Methods: Non‐Gaussian Conditional Linear AR(1) Models
10. On weak dependence conditions for Poisson autoregressions

Their papers

• On weak dependence conditions for Poisson autoregressions (2012) — 124 citations
• Count Time Series Models (2012) — 101 citations
• Partial Likelihood Inference For Time Series Following Generalized Linear Models (2004) — 88 citations
• Interventions in INGARCH processes (2010) — 145 citations
• Identifying periodically expressed transcripts in microarray time series data (2008) — 346 citations
• Likelihood Estimation for the INAR(p) Model by Saddlepoint Approximation (2015) — 56 citations
• Regression Theory for Categorical Time Series (2003) — 140 citations
• Interventions in log-linear Poisson autoregression (2012) — 68 citations
• Merging information for semiparametric density estimation (2004) — 51 citations
• Count Time Series: A Methodological Review (2021) — 129 citations
• An Updated Literature Review of Distance Correlation and Its Applications to Time Series (2017) — 56 citations
• QUASI‐LIKELIHOOD INFERENCE FOR NEGATIVE BINOMIAL TIME SERIES MODELS (2013) — 150 citations
• Some recent progress in count time series (2011) — 70 citations
• Regression Models for Time Series Analysis: Kedem/Time Series Analysis (2005) — 195 citations