Blind separation methods based on Pearson system and its extensions. - Juha Karvanen; Visa Koivunen (Signal Process., 2002)

Adaptive Score Functions for Maximum Likelihood ICA. - Juha Karvanen; Jan Eriksson; Visa Koivunen (J. VLSI Signal Process., 2002)

Temporal Decorrelation as Preprocessing for Linear and Post-nonlinear ICA. - Juha Karvanen; Toshihisa Tanaka (ICA, 2004)

Independent component analysis via optimum combining of kurtosis and skewness-based criteria. - Juha Karvanen; Visa Koivunen (J. Frankl. Inst., 2004)

A Resampling Test for the Total Independence of Stationary Time Series: Application to the Performance Evaluation of ICA Algorithms. - Juha Karvanen (Neural Process. Lett., 2005)

Estimation of quantile mixtures via L-moments and trimmed L-moments. - Juha Karvanen (Comput. Stat. Data Anal., 2006)

Characterizing the generalized lambda distribution by L-moments. - Juha Karvanen; Arto Nuutinen (Comput. Stat. Data Anal., 2008)

Approximate cost-efficient sequential designs for binary response models with application to switching measurements. - Juha Karvanen (Comput. Stat. Data Anal., 2009)

Optimal designs to select individuals for genotyping conditional on observed binary or survival outcomes and non-genetic covariates. - Juha Karvanen; Sangita Kulathinal; Dario Gasbarra (Comput. Stat. Data Anal., 2009)

Estimating complex causal effects from observational data. - Juha Karvanen (CoRR, 2014)

Simplifying Probabilistic Expressions in Causal Inference. - Santtu Tikka; Juha Karvanen (J. Mach. Learn. Res., 2017)

Enhancing Identification of Causal Effects by Pruning. - Santtu Tikka; Juha Karvanen (J. Mach. Learn. Res., 2017)

Identifying Causal Effects via Context-specific Independence Relations. - Santtu Tikka; Antti Hyttinen; Juha Karvanen (NeurIPS, 2019)

Surrogate outcomes and transportability. - Santtu Tikka; Juha Karvanen (Int. J. Approx. Reason., 2019)

Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-Based Approach. - Santtu Tikka; Antti Hyttinen; Juha Karvanen (J. Stat. Softw., 2021)

Generalizing experimental findings: identification beyond adjustments. - Juha Karvanen (CoRR, 2022)

Contrasting Identifying Assumptions of Average Causal Effects: Robustness and Semiparametric Efficiency. - Tetiana Gorbach; Xavier de Luna; Juha Karvanen; Ingeborg Waernbaum (J. Mach. Learn. Res., 2023)

Clustering and Structural Robustness in Causal Diagrams. - Santtu Tikka; Jouni Helske; Juha Karvanen (J. Mach. Learn. Res., 2023)

The Effects of Robotic Training on Walking and Functional Independence of People with Spinal Cord Injury: A Systematic Review, Meta-analysis and Meta-regression. - Anna Köyhäjoki; Hilkka Korpi; Riku Yli-Ikkelä; Harto Hakonen; Mirjami Kantola; Aki Rintala; Sari Honkanen; Outi Ilves; Tuulikki Sjögren; Juha Karvanen; Eeva Aartolahti (NCDHWS (2), 2024)

Effectiveness of Robot-Assisted Lower Limb Rehabilitation on Balance in People with Stroke: A Systematic Review, Meta-analysis, and Meta-regression. - Riku Yli-Ikkelä; Aki Rintala; Anna Köyhäjoki; Harto Hakonen; Hilkka Korpi; Mirjami Kantola; Sari Honkanen; Outi Ilves; Tuulikki Sjögren; Juha Karvanen; Eeva Aartolahti (NCDHWS (2), 2024)

Simulating Counterfactuals. - Juha Karvanen; Santtu Tikka; Matti Vihola (J. Artif. Intell. Res., 2024)

Clustering and Pruning in Causal Data Fusion. - Otto Tabell; Santtu Tikka; Juha Karvanen (CoRR, 2025)