--- title: "LASSO: formula and 26 recent papers" description: "LASSO was mentioned in 26 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #35 of the 104 equations and models mentioned." url: https://scholar4ai.com/equations/lasso markdown_url: https://scholar4ai.com/equations/lasso.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "LASSO was mentioned in 26 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #35 of the 104 equations and models mentioned." data_url: https://scholar4ai.com/data/rankings.json updated: 2026-10-26T14:32:25+09:00 window: 2026-09-27 to 2026-10-26 source: OpenAlex (CC0) --- # LASSO $$ \hat\beta = \operatorname*{arg\,min}_{\beta}\ \lVert y - X\beta \rVert_2^2 + \lambda \lVert \beta \rVert_1 $$ Regression with an L1 penalty that shrinks coefficients and sets many of them to exactly zero. - area: Regression models - 6 papers in the last 7 days - Names searched for: Lasso, least absolute shrinkage Back to the ranking: https://scholar4ai.com/rankings/equations.md ## Key findings - LASSO was mentioned in 26 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #35 of the 104 equations and models mentioned. - By journal category: Economics (8), Finance (7), AI (6), Operations Research (3) and Management (2). - Most of them appeared in Digital Finance (2), Future Business Journal (2) and Computational Economics (2). - Often mentioned together with Random forest (12), Gradient boosting (XGBoost) (11) and Support vector machine (SVM) (9). - Datasets named in the same papers: OR-Library (7), S&P 500 (4) and FRED (2). - From Oct 2023 to Sep 2026, 150 archived papers mentioned LASSO in their title, abstract or keywords, most of them in Dec 2024 (14). ## Mentions over 36 months *Papers mentioning it by publication month, Oct 2023 to Sep 2026 (titles, abstracts and keywords)* | Trend | Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months | |---|---:|---:|---:|---:| | | 60 | 78 | 12 | 150 | *Papers mentioning LASSO, newest first.* | Date | Title | Journal | Authors | Affiliations | |---|---|---|---|---| | 2026-10-23 | [Dynamic prediction of loss given default in Norwegian retail credit card debt: advanced machine learning versus statistical models](https://doi.org/10.1007/s42521-026-00230-2) | [Digital Finance](https://scholar4ai.com/journals/digital-finance.md) | Cathy Ho, Isabel A. C. Sandersen, Espen Selliken et al. | Norwegian University of Science and Technology | | 2026-10-23 | [An identification-and dimensionality-robust test for instrumental variables models](https://doi.org/10.1016/j.jeconom.2026.106348) | [Journal of Econometrics](https://scholar4ai.com/journals/journal-of-econometrics.md) | Manu Navjeevan | Texas A&M University | | 2026-10-23 | [Evaluating machine learning and econometric models for inflation forecasting: evidence from a Sub-Saharan African panel](https://doi.org/10.1186/s43093-026-01003-4) | [Future Business Journal](https://scholar4ai.com/journals/future-business-journal.md) | Baffour Osei, Abigail Boatemaa, Isaac Nyame et al. | University of Skills Training and Entrepreneurial Development; University of Bradford; Kwame Nkrumah University of Science and Technology; … | | 2026-10-23 | [Dynamic and regime-dependent associations of business confidence and employment with new business creation in La Araucanía, Chile](https://doi.org/10.1007/s12197-026-09793-7) | [Journal of Economics and Finance](https://scholar4ai.com/journals/journal-of-economics-and-finance.md) | Humberto Salas Jara, Leonardo Rivas Solar, Francisco Javier Miranda González | Universidad Autónoma de Chile; Universidad de Valladolid; Universidad de Extremadura | | 2026-10-21 | [Solving two-stage stochastic programming problems using alternating direction method of multipliers](https://doi.org/10.1007/s10589-026-00843-8) | [Computational Optimization and Applications](https://scholar4ai.com/journals/computational-optimization-and-applications.md) | Nouralden Mohammed, Montaz Ali | University of the Witwatersrand | | 2026-10-21 | [Leveraging Machine Learning for Profit Forecasting and Cost Optimization Using Public Financial Data](https://doi.org/10.1007/s10614-026-11455-z) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Bilal Ahmad, Abdu Salam, Mian Abdulbasit et al. | University of Peshawar; Abdul Wali Khan University Mardan; Yeungnam University; … | | 2026-10-17 | [Multi-Perspective explainability in traffic prediction: A neuro-symbolic approach using CNN-LSTMs and concept lattices](https://doi.org/10.1007/s10489-026-07512-7) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Suraya Syazwani Mohamad Yusof, Hadhrami Ab Ghani, Nurul Izrin Md Saleh et al. | Universiti Malaysia Kelantan; Universiti Teknikal Malaysia Melaka; University of Technology Malaysia | | 2026-10-16 | [The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation](https://doi.org/10.1007/s10994-026-07140-9) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Damian Machlanski, Spyridon Samothrakis, Paul Clarke | University of Edinburgh; University of Essex; Institute for Social and Economic Research | | 2026-10-15 | [Geopolitical risk spillovers among GCC stock markets, non-renewable energy, and gold: evidence from a quantile connectedness approach](https://doi.org/10.1007/s10258-026-00299-y) | [Portuguese Economic Journal](https://scholar4ai.com/journals/portuguese-economic-journal.md) | Nidhal Mgadmi, Fekria Belhouichet, Ştefan Cristian Gherghina et al. | University of Sfax; Faculty of Economics and Management of Sfax; Bucharest University of Economic Studies; … | | 2026-10-09 | [The naive–power law blend as a robust baseline for bitcoin price forecasting](https://doi.org/10.1007/s42521-026-00226-y) | [Digital Finance](https://scholar4ai.com/journals/digital-finance.md) | Carlos Baquero, Daniel Tinoco | INESC TEC | | 2026-10-08 | [A novel graph-based patient embedding method for the diagnosis of Alzheimer’s disease from microRNA expression data](https://doi.org/10.1007/s10618-026-01275-y) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Veronica Buttaro, Antonio Pellicani, Gianvito Pio et al. | University of Bari Aldo Moro; Consorzio Interuniversitario Nazionale per l'Informatica; National Research Council; … | | 2026-10-07 | [Artificial intelligence technologies, skills demand and employment: Evidence from linked job ads](https://doi.org/10.1016/j.labeco.2026.102974) | [Labour Economics](https://scholar4ai.com/journals/labour-economics.md) | Lennert Peede, Michael Stops | Institut für Arbeitsmarkt und Berufsforschung | | 2026-10-05 | [Transparent forecasting with XAI: Improving accuracy and trust in electricity demand prediction](https://doi.org/10.1016/j.knosys.2026.117131) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Somya Bansal, Vaibhav Baldeva, Asmit Cajla et al. | Thapar Institute of Engineering & Technology; Torrens University Australia; Norwegian University of Science and Technology | | 2026-10-05 | [An innovative approach to stock forecasting: combining LSTM, VMD, and artificial rabbit optimization](https://doi.org/10.1186/s43093-026-00987-3) | [Future Business Journal](https://scholar4ai.com/journals/future-business-journal.md) | Homa Mehtarizadeh, Najme Mansouri, Behnam Mohammad Hasani Zade et al. | Shahid Bahonar University of Kerman | | 2026-10-04 | [Study of risk spillover effects on financial institutions under climate risk shocks](https://doi.org/10.1016/j.ribaf.2026.103649) | [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | Xiao-Li Gong, Wei Wei, Xiong Xiong | Qingdao University; Tianjin University | | 2026-10-03 | [Affective Profiles of Figurative Language: Cognitive and Computational Insights](https://doi.org/10.1007/s12559-026-10648-w) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Kun Sun, Rong Wang, Yun Wu | Tongji University; University of Tübingen | | 2026-10-03 | [Tail Dependence in EU Carbon Markets: Graphical Models of Extremes for EUA Futures](https://doi.org/10.1007/s10614-026-11430-8) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Jan Maciejowski, Manuele Leonelli | IE University | | 2026-10-01 | [A clustering-based framework for preference inference in inverse multiobjective optimization](https://doi.org/10.1016/j.omega.2026.103675) | [Omega](https://scholar4ai.com/journals/omega.md) | Emilio Carrizosa, Nuria Gómez-Vargas, Veronica Piccialli | Universidad de Sevilla; Sapienza University of Rome | | 2026-10-01 | [Dynamic factor loadings and portfolio return prediction: Evidence from deep sequence models](https://doi.org/10.1016/j.iref.2026.105909) | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | Viktor Manahov, Zihao Hou, Dimitrios Stafylas | | | 2026-10-01 | [Intraday predictability in commodity futures: New evidence from China’s retail-dominated market](https://doi.org/10.1016/j.jbankfin.2026.107834) | [Journal of Banking & Finance](https://scholar4ai.com/journals/journal-of-banking-finance.md) | Biao Guo, Junping Zhu | Renmin University of China | | 2026-10-01 | [Adaptive Bayesian very short-term wind power forecasting based on the generalised logit transformation](https://doi.org/10.1016/j.ijforecast.2026.08.002) | [International Journal of Forecasting](https://scholar4ai.com/journals/international-journal-of-forecasting.md) | Tao Shen, Jethro Browell, Daniela Castro‐Camilo | | | 2026-10-01 | [Disciplined Biconvex Programming](https://doi.org/10.1007/s10957-026-03125-9) | [Journal of Optimization Theory and Applications](https://scholar4ai.com/journals/journal-of-optimization-theory-and-applications.md) | Hao Zhu, Joschka Boedecker | Bernstein Center for Computational Neuroscience Freiburg | | 2026-10-01 | [Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery](https://doi.org/10.1007/s10994-026-07167-y) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Xiaochen Zhang, Haoyi Xiong | Shandong University; Microsoft (United States) | | 2026-10-01 | [Combining value-at-risk and expected-shortfall forecasts via the model confidence set](https://doi.org/10.1016/j.ijforecast.2026.09.011) | [International Journal of Forecasting](https://scholar4ai.com/journals/international-journal-of-forecasting.md) | Alessandra Amendola, Vincenzo Candila, Antonio Naimoli et al. | | | 2026-09-29 | [Probabilistic electricity demand forecasting for Türkiye's 2035 energy plan: A risk-based framework for policy and capacity planning](https://doi.org/10.1016/j.jup.2026.102351) | [Utilities Policy](https://scholar4ai.com/journals/utilities-policy.md) | Atasoy Durukan, Murat Demir | Milli Savunma Üniversitesi; Bakırçay Üniversitesi | | 2026-09-27 | [How to accelerate the value realization of digital transformation? -From the perspective of “executive capability construction”](https://doi.org/10.1016/j.iref.2026.105880) | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | Xinru Yue, Hongjian Yu | Xi'an University of Technology | ## Cite this page Scholar4AI. (2026). LASSO. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/equations/lasso ```bibtex @misc{scholar4ai-equations-lasso, author = {{Scholar4AI}}, title = {LASSO}, year = {2026}, howpublished = {\url{https://scholar4ai.com/equations/lasso}}, urldate = {2026-10-26}, note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).