{"id":33594,"date":"2019-04-27T00:06:53","date_gmt":"2019-04-26T22:06:53","guid":{"rendered":"http:\/\/datascience.unifi.it\/cladag2021\/?page_id=33594"},"modified":"2023-08-25T15:24:48","modified_gmt":"2023-08-25T13:24:48","slug":"post-proceedings","status":"publish","type":"page","link":"https:\/\/datascience.unifi.it\/cladag2021\/post-proceedings\/","title":{"rendered":"Post proceedings"},"content":{"rendered":"

[et_pb_section fb_built=”1″ admin_label=”Header” _builder_version=”4.7.2″ background_color=”#f8fbfe” use_background_color_gradient=”on” background_color_gradient_start=”#a5b1ca” background_color_gradient_end=”#09164c” background_color_gradient_direction=”135deg” background_image=”http:\/\/datascience.unifi.it\/cladag2021\/wp-content\/uploads\/2019\/02\/geometric-bg-overlay-01.jpg” background_blend=”overlay” custom_padding=”5%|0px|5%|0px|false|false” animation_style=”zoom” animation_direction=”bottom” animation_intensity_zoom=”8%” animation_starting_opacity=”100%”][et_pb_row _builder_version=”4.7.2″][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”3.27.4″ text_font=”Nunito Sans||||||||” text_text_color=”#ffffff” text_font_size=”18px” text_line_height=”1.8em” header_font=”Nunito Sans|700|||||||” header_font_size=”45px” header_line_height=”1.3em” header_2_font=”||||||||” text_orientation=”center” background_layout=”dark” max_width=”700px” module_alignment=”center”]<\/p>\n

Pubblications<\/h1>\n

All the contributions presented at the Conference will be disseminated within the Scientific Community through many publications<\/span><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”3.22″ custom_padding=”100px|0px|100px|0px”][et_pb_row column_structure=”1_4,3_4″ admin_label=”Right Sided Image” _builder_version=”3.25″ custom_padding=”60px|0px|0px|0px||” locked=”off”][et_pb_column type=”1_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_image src=”http:\/\/datascience.unifi.it\/cladag2021\/wp-content\/uploads\/2019\/04\/springer-series-cover.jpg” url=” https:\/\/link.springer.com\/book\/10.1007\/978-3-031-30164-3 ” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.9.10″ custom_margin=”||||false|false” hover_enabled=”0″ sticky_enabled=”0″][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.10″ text_font=”Nunito Sans||||||||” text_text_color=”#959baf” text_font_size=”18px” text_line_height=”1.8em” header_font=”||||||||” header_text_align=”left” header_2_font=”Nunito Sans|700|||||||” header_2_text_color=”#535b7c” header_2_font_size=”35px” header_2_line_height=”1.3em” max_width=”700px” module_alignment=”center”]<\/p>\n

Post proceedings<\/h2>\n


We are delighted to announce that the post-proceedings of the ClaDAG2021 conference<\/p>\n

Statistical Models and Methods for Data Science<\/a><\/p>\n

have been successfully published and are now available. <\/a>To access the conference proceedings, please visit the publication website here<\/a><\/strong>.
<\/span><\/p>\n

Editors<\/strong><\/span>: Leonardo Grilli, Monia Lupparelli, Carla Rampichini, Emilia Rocco, Maurizio Vichi<\/span><\/p>\n

About this book<\/strong><\/span>: \u00a0<\/span>This book focuses on methods and models in classification and data analysis and presents real-world applications at the interface with data science. Numerous topics are covered, ranging from statistical inference and modelling to clustering and factorial methods, and from directional data analysis to time series analysis and small area estimation. The applications deal with new developments in a variety of fields, including medicine, finance, engineering, marketing, and cyber risk.<\/span><\/p>\n

<\/span><\/p>\n