Jonas Striaukas : Citation Profile


Université Catholique de Louvain

5

H index

5

i10 index

137

Citations

RESEARCH PRODUCTION:

14

Papers

RESEARCH ACTIVITY:

   4 years (2017 - 2021). See details.
   Cites by year: 34
   Journals where Jonas Striaukas has often published
   Relations with other researchers
   Recent citing documents: 57.    Total self citations: 2 (1.44 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pst799
   Updated: 2026-01-17    RAS profile: 2023-03-16    
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Relations with other researchers


Works with:

Babii, Andrii (5)

Weber, Matthias (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Jonas Striaukas.

Is cited by:

Marcellino, Massimiliano (6)

Comunale, Mariarosaria (6)

Babii, Andrii (5)

Hecq, Alain (4)

Stevanovic, Dalibor (4)

Meunier, Baptiste (4)

Giannone, Domenico (4)

Boyarchenko, Nina (4)

Fadejeva, Ludmila (3)

Phillips, Peter (3)

Mongelli, Francesco (3)

Cites to:

Chernozhukov, Victor (8)

Carrasco, Marine (8)

Giannone, Domenico (7)

Rossi, Barbara (7)

Babii, Andrii (6)

Valkanov, Rossen (5)

Hansen, Christian (4)

Kock, Anders (4)

Chauvet, Marcelle (3)

Marcellino, Massimiliano (3)

Athey, Susan (3)

Main data


Where Jonas Striaukas has published?


Working Papers Series with more than one paper published# docs
Papers / arXiv.org3
LIDAM Reprints LFIN / Universit catholique de Louvain, Louvain Finance (LFIN)2

Recent works citing Jonas Striaukas (2025 and 2024)


YearTitle of citing document
2025Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice. (2021). Babii, Andrii ; Chen, XI ; Kumar, Rohit ; Ghysels, Eric. In: Papers. RePEc:arx:papers:2010.08463.

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2024The boosted HP filter is more general than you might think. (2024). Shi, Zhentao ; Phillips, Peter ; Mei, Ziwei. In: Papers. RePEc:arx:papers:2209.09810.

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2024Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data. (2024). van Huellen, Sophie ; Dellaportas, Petros ; Hirt, Marcel ; Grigoryeva, Lyudmila ; Ortega, Juan-Pablo ; Ballarin, Giovanni. In: Papers. RePEc:arx:papers:2211.00363.

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2024On LASSO for High Dimensional Predictive Regression. (2024). Mei, Ziwei ; Shi, Zhentao. In: Papers. RePEc:arx:papers:2212.07052.

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2024Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions. (2024). Wilms, Ines ; Hecq, Alain ; Ternes, Marie. In: Papers. RePEc:arx:papers:2301.10592.

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2024Expected Shortfall LASSO. (2024). Barendse, Sander. In: Papers. RePEc:arx:papers:2307.01033.

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2024Data-Driven Tuning Parameter Selection for High-Dimensional Vector Autoregressions. (2024). Kock, Anders ; Pedersen, Rasmus Sondergaard ; Sorensen, Jesper Riis-Vestergaard. In: Papers. RePEc:arx:papers:2403.06657.

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2024Bayesian Bi-level Sparse Group Regressions for Macroeconomic Density Forecasting. (2024). Mogliani, Matteo ; Simoni, Anna. In: Papers. RePEc:arx:papers:2404.02671.

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2025Robust Estimation and Inference for High-Dimensional Panel Data Models. (2025). GAO, Jiti ; Yan, Yayi ; Peng, Bin. In: Papers. RePEc:arx:papers:2405.07420.

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2024Econometric Inference for High Dimensional Predictive Regressions. (2024). Lee, Ji Hyung ; Mei, Ziwei ; Shi, Zhentao ; Gao, Zhan. In: Papers. RePEc:arx:papers:2409.10030.

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2024Inference in High-Dimensional Linear Projections: Multi-Horizon Granger Causality and Network Connectedness. (2024). Wang, Endong ; Dettaa, Eugene. In: Papers. RePEc:arx:papers:2410.04330.

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2024Sparse Interval-valued Time Series Modeling with Machine Learning. (2024). Wang, Shouyang ; Sun, Yuying ; Hong, Yongmiao ; Bao, Haowen. In: Papers. RePEc:arx:papers:2411.09452.

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2024Dual Interpretation of Machine Learning Forecasts. (2024). Goulet Coulombe, Philippe ; Goebel, Maximilian ; Klieber, Karin. In: Papers. RePEc:arx:papers:2412.13076.

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2025High-dimensional censored MIDAS logistic regression for corporate survival forecasting. (2025). van Keilegom, Ingrid ; Striaukas, Jonas ; Beyhum, Jad ; Miao, Wei. In: Papers. RePEc:arx:papers:2502.09740.

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2025Inference in High-Dimensional Panel Models: Two-Way Dependence and Unobserved Heterogeneity. (2025). Chen, Kaicheng. In: Papers. RePEc:arx:papers:2504.18772.

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2025A Bayesian Gaussian Process Dynamic Factor Model. (2025). Pfarrhofer, Michael ; Chernis, Tony ; Hauzenberger, Niko ; Mumtaz, Haroon. In: Papers. RePEc:arx:papers:2509.04928.

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2025Dynamic Factor Analysis of Price Movements in the Philippine Stock Exchange. (2025). Dominic, Len Patrick ; Lim, Brian Godwin ; Dayta, Dominic ; Tiu, Benedict Ryan ; Tan, Renzo Roel ; Ikeda, Kazushi. In: Papers. RePEc:arx:papers:2510.15938.

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2025Diffusion Index Forecast with Tensor Data. (2025). Han, Yuefeng ; Chen, Bin ; Yu, Qiyang. In: Papers. RePEc:arx:papers:2511.02235.

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2025Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables. (2025). Stevanovic, Dalibor ; Marcellino, Massimiliano ; Coulombe, Philippe Goulet. In: Working Papers. RePEc:bbh:wpaper:25-04.

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2024Nowcasting Italian GDP growth: a Factor MIDAS approach. (2024). Silvestrini, Andrea ; Prifti, Orest ; Ceci, Donato. In: Temi di discussione (Economic working papers). RePEc:bdi:wptemi:td_1446_24.

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2024CLARA and CARLSON: Combination of Ensemble and Neural Network Machine Learning Methods for GDP Forecasting. (2024). Bozhechkova, Alexandra ; Dzhunkeev, Urmat. In: Russian Journal of Money and Finance. RePEc:bkr:journl:v:83:y:2024:i:3:p:45-69.

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2024Future directions in nowcasting economic activity: A systematic literature review. (2024). Pekarskiene, Irena ; Lukauskas, Mantas ; Grybauskas, Andrius ; Bruneckiene, Jurgita ; Pilinkiene, Vaida ; Stundziene, Alina. In: Journal of Economic Surveys. RePEc:bla:jecsur:v:38:y:2024:i:4:p:1199-1233.

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2025Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables. (2025). Stevanovic, Dalibor ; Marcellino, Massimiliano ; Coulombe, Philippe Goulet. In: CIRANO Working Papers. RePEc:cir:cirwor:2025s-15.

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2024Harnessing Machine Learning for Real-Time Inflation Nowcasting. (2024). Schnorrenberger, Richard ; Moura, Guilherme Valle ; Schmidt, Aishameriane. In: Working Papers. RePEc:dnb:dnbwpp:806.

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2024Nowcasting consumer price inflation using high-frequency scanner data: evidence from Germany. (2024). Wieland, Elisabeth ; Menz, Jan-Oliver ; Carstensen, Kai ; Schnorrenberger, Richard ; Beck, Gunter W. In: Working Paper Series. RePEc:ecb:ecbwps:20242930.

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2025Enhancing GDP nowcasts with ChatGPT: a novel application of PMI news releases. (2025). de Bondt, Gabe ; Sun, Yiqiao. In: Working Paper Series. RePEc:ecb:ecbwps:20253063.

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2025Forecast by mixed-frequency dynamic panel model. (2025). Hu, Mingming ; Chen, Yuxiu ; Liu, Han. In: Annals of Tourism Research. RePEc:eee:anture:v:110:y:2025:i:c:s0160738324001646.

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2024On LASSO for high dimensional predictive regression. (2024). Mei, Ziwei ; Shi, Zhentao. In: Journal of Econometrics. RePEc:eee:econom:v:242:y:2024:i:2:s0304407624001556.

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2024Testing for sparse idiosyncratic components in factor-augmented regression models. (2024). Striaukas, Jonas ; Beyhum, Jad. In: Journal of Econometrics. RePEc:eee:econom:v:244:y:2024:i:1:s0304407624001908.

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2025Satellites turn “concrete”: Tracking cement with satellite data and neural networks. (2025). Meunier, Baptiste ; Lietti, Benjamin ; bricongne, jean-charles ; ben Arous, Simon ; D'Aspremont, Alexandre. In: Journal of Econometrics. RePEc:eee:econom:v:249:y:2025:i:pc:s0304407624002744.

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2024Dynamic portfolio selection with sector-specific regularization. (2024). Wang, Linqi ; Hafner, Christian M. In: Econometrics and Statistics. RePEc:eee:ecosta:v:32:y:2024:i:c:p:17-33.

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2024Factor correlation and the cross section of asset returns: A correlation-robust machine learning approach. (2024). Sun, Chuanping. In: Journal of Empirical Finance. RePEc:eee:empfin:v:77:y:2024:i:c:s092753982400032x.

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2024Forecasting oil futures returns with news. (2024). Wang, Yudong ; Pan, Zhiyuan ; Huang, Juan ; Zhong, Hao. In: Energy Economics. RePEc:eee:eneeco:v:134:y:2024:i:c:s0140988324003141.

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2024Words or numbers? Macroeconomic nowcasting with textual and macroeconomic data. (2024). Fan, Xinyue ; Jin, Wei ; Zheng, Tingguo ; Fang, Kuangnan. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:746-761.

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2024Reservoir computing for macroeconomic forecasting with mixed-frequency data. (2024). van Huellen, Sophie ; Dellaportas, Petros ; Hirt, Marcel ; Grigoryeva, Lyudmila ; Ortega, Juan-Pablo ; Ballarin, Giovanni. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:3:p:1206-1237.

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2025Asymmetric uncertainty: Nowcasting using skewness in real-time data. (2025). Labonne, Paul. In: International Journal of Forecasting. RePEc:eee:intfor:v:41:y:2025:i:1:p:229-250.

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2025Forecasting macroeconomic tail risk in real time: Do textual data add value?. (2025). Prser, Jan ; Admmer, Philipp ; Schssler, Rainer A. In: International Journal of Forecasting. RePEc:eee:intfor:v:41:y:2025:i:1:p:307-320.

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2025Econometric forecasting using ubiquitous news text: Text-enhanced factor model. (2025). Seo, Beomseok. In: International Journal of Forecasting. RePEc:eee:intfor:v:41:y:2025:i:3:p:1055-1072.

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2024Oil jump tail risk as a driver of inflation dynamics. (2024). Karadimitropoulou, Aikaterini ; Ferrara, Laurent ; Triantafyllou, Athanasios. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:36:y:2024:i:c:s2405851324000539.

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2025Information loss from perception alignment. (2025). Dalko, Viktoria ; Ardakani, Omid M ; Shim, Hyeeun. In: International Review of Economics & Finance. RePEc:eee:reveco:v:97:y:2025:i:c:s1059056024008220.

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2025Long-span multi-layer spillovers between moments of advanced equity markets: The role of climate risks. (2025). GUPTA, RANGAN ; Plakandaras, Vasilios ; Ji, Qiang ; Foglia, Matteo. In: Research in International Business and Finance. RePEc:eee:riibaf:v:74:y:2025:i:c:s0275531924004604.

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2025Nowcasting Perus GDP with Machine Learning Methods. (2025). Tang, Juan ; Flores Audante, Jairo ; Ruelas-Huanca, Walter ; Gonzaga, Bruno. In: IHEID Working Papers. RePEc:gii:giihei:heidwp01-2025.

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2024Satellites turn “concrete”: Tracking cement with satellite data and neural networks. (2024). Meunier, Baptiste ; bricongne, jean-charles ; Lietti, Benjamin ; ben Arous, Simon ; D'Aspremont, Alexandre. In: Post-Print. RePEc:hal:journl:hal-05104995.

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2024Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI. (2024). Uribe, Jorge ; Chuliá, Helena ; Khalili, Sabuhi ; Chulia, Helena. In: IREA Working Papers. RePEc:ira:wpaper:202402.

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2025Brazilian Selic Rate Forecasting with Deep Neural Networks. (2025). Moreira, Rodrigo ; Rodrigues, Larissa Ferreira ; Silva, Flvio Oliveira. In: Computational Economics. RePEc:kap:compec:v:65:y:2025:i:3:d:10.1007_s10614-024-10597-2.

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2025The endogeneity of profitability and investment. (2025). Chinloy, Peter ; Imes, Matthew. In: Review of Quantitative Finance and Accounting. RePEc:kap:rqfnac:v:65:y:2025:i:2:d:10.1007_s11156-024-01357-2.

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2024Measuring News Sentiment of Korea Using Transformer. (2024). Lee, Young Hwan ; Cho, Hyungbae ; Seo, Beomseok. In: Korean Economic Review. RePEc:kea:keappr:ker-20240101-40-1-05.

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2024Forecasting Value-at-Risk Using Deep Neural Network Quantile Regression*. (2024). Raftapostolos, Aristeidis ; Kapetanios, George ; Chronopoulos, Ilias. In: Journal of Financial Econometrics. RePEc:oup:jfinec:v:22:y:2024:i:3:p:636-669..

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2024Benchmarking econometric and machine learning methodologies in nowcasting GDP. (2024). Hopp, Daniel. In: Empirical Economics. RePEc:spr:empeco:v:66:y:2024:i:5:d:10.1007_s00181-023-02515-6.

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2024Influential assets in Large-Scale Vector AutoRegressive Models. (2024). Trimborn, Simon ; Zhang, Kexin. In: Tinbergen Institute Discussion Papers. RePEc:tin:wpaper:20240080.

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2025Exact Mixed-Frequency Data Sampling (eMIDAS). (2025). Quinlan, Stephen Snudden. In: LCERPA Working Papers. RePEc:wlu:lcerpa:jc0157.

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2024Panel data nowcasting: The case of price–earnings ratios. (2024). Babii, Andrii ; Ball, Ryan T ; Striaukas, Jonas ; Ghysels, Eric. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:39:y:2024:i:2:p:292-307.

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2024Nowcasting Euro area GDP with news sentiment: A tale of two crises. (2024). Saiz, Lorena ; Ashwin, Julian ; Kalamara, Eleni. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:39:y:2024:i:5:p:887-905.

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2024Nowcasting Norwegian household consumption with debit card transaction data. (2024). Aastveit, Knut Are ; Fastb, Tuva Marie ; Granziera, Eleonora ; Paulsen, Kenneth Sterhagen ; Torstensen, Kjersti Nss. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:39:y:2024:i:7:p:1220-1244.

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2024The boosted Hodrick‐Prescott filter is more general than you might think. (2024). Phillips, Peter ; Mei, Ziwei ; Shi, Zhentao. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:39:y:2024:i:7:p:1260-1281.

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2024Big data financial transactions and GDP nowcasting: The case of Turkey. (2024). Ortiz, Alvaro ; Yazgan, Ege ; Isa, Berk Orkun ; Soybilgen, Baris ; Barlas, Ali B ; Rodrigo, Tomasa ; Mert, Seda Guler. In: Journal of Forecasting. RePEc:wly:jforec:v:43:y:2024:i:2:p:227-248.

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2025Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions. (2025). Hecq, Alain ; Ternes, Marie ; Wilms, Ines. In: Journal of Forecasting. RePEc:wly:jforec:v:44:y:2025:i:6:p:1946-1968.

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Works by Jonas Striaukas:


YearTitleTypeCited
2021Machine Learning Time Series Regressions With an Application to Nowcasting In: LIDAM Discussion Papers LFIN.
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paper87
2021Machine Learning Time Series Regressions With an Application to Nowcasting.(2021) In: LIDAM Reprints LFIN.
[Citation analysis]
This paper has nother version. Agregated cites: 87
paper
2020Machine Learning Time Series Regressions with an Application to Nowcasting.(2020) In: Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 87
paper
2021Regularized regression when covariates are linked on a network: the 3CoSE algorithm In: LIDAM Reprints LFIN.
[Citation analysis]
paper2
2021High-Dimensional Granger Causality Tests with an Application to VIX and News In: Papers.
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paper10
2021Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and Application In: Papers.
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paper10
2017Unconventional monetary olicy: interest rates and low inflation. A review of literature and methods In: LIDAM Discussion Papers CORE.
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paper16
2017Unconventional Monetary Policy: Interest Rates and Low Inflation: A Review of Literature and Methods.(2017) In: CAMA Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 16
paper
2017Unconventional Monetary Policy: Interest Rates and Low Inflation. A Review of Literature and Methods.(2017) In: Bank of Lithuania Occasional Paper Series.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 16
paper
2017Unconventional monetary policy: interest rates and low inflation. A review of literature and methods.(2017) In: CEIS Research Paper.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 16
paper
2018Network constrained covariate coefficient and connection sign estimation In: LIDAM Discussion Papers CORE.
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paper0
2018Network constrained covariate coefficient and connection sign estimation.(2018) In: Bank of Lithuania Discussion Paper Series.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 0
paper
2020Network-Constrained Covariate Coefficient and Connection Sign Estimation.(2020) In: Working Papers on Finance.
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This paper has nother version. Agregated cites: 0
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2018Quantile-based Inflation Risk Models In: Working Paper Research.
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paper12

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