{"id":5844,"date":"2025-07-15T13:41:17","date_gmt":"2025-07-15T13:41:17","guid":{"rendered":"https:\/\/vwo.com\/glossary\/high-density-interval\/"},"modified":"2025-09-29T14:25:20","modified_gmt":"2025-09-29T14:25:20","slug":"high-density-interval","status":"publish","type":"post","link":"https:\/\/vwo.com\/glossary\/es\/high-density-interval\/","title":{"rendered":"High Density Interval (HDI)"},"content":{"rendered":"\n

\u00bfQu\u00e9 es el High Density Interval (HDI)?<\/strong><\/h2>\n\n\n\n

El High Density Interval (HDI), tambi\u00e9n conocido como intervalo cre\u00edble, es un m\u00e9todo estad\u00edstico utilizado en el an\u00e1lisis bayesiano que identifica el rango que contiene una masa de probabilidad especificada, donde los valores del par\u00e1metro tienen la mayor densidad de probabilidad. A diferencia de los intervalos de confianza tradicionales, el HDI representa los valores m\u00e1s cre\u00edbles de un par\u00e1metro, dados los datos observados y el conocimiento previo.<\/p>\n\n\n\n

Por ejemplo, una tienda de eCommerce realiza un an\u00e1lisis bayesiano sobre los datos de tasa de conversi\u00f3n de un A\/B testing. La distribuci\u00f3n posterior muestra que la tasa de conversi\u00f3n tiene un HDI del 95\u202f% entre el 12\u202f% y el 18\u202f%. Esto significa que, seg\u00fan los datos observados, hay un 95\u202f% de probabilidad de que la tasa de conversi\u00f3n real se encuentre dentro de ese rango, y que estos son los valores m\u00e1s cre\u00edbles seg\u00fan la evidencia disponible.<\/p>\n\n\n\n

\"High
Representaci\u00f3n gr\u00e1fica del High Density Interval<\/figcaption><\/figure>\n\n\n\n

\u00bfC\u00f3mo se calcula el HDI?<\/strong><\/h2>\n\n\n\n

Aqu\u00ed tienes los pasos para calcular un HDI:<\/p>\n\n\n\n

Paso 1: Generar la distribuci\u00f3n posterior<\/strong><\/p>\n\n\n\n

Crea una distribuci\u00f3n de probabilidad posterior para tu par\u00e1metro usando inferencia bayesiana, combinando el conocimiento previo con los datos observados.<\/p>\n\n\n\n

Paso 2: Determinar la masa de probabilidad <\/strong><\/p>\n\n\n\n

Elige el nivel de credibilidad deseado (por ejemplo, 95\u202f%), que representa la masa de probabilidad total que quieres capturar.<\/p>\n\n\n\n

Paso 3: Encontrar la regi\u00f3n de mayor densidad <\/strong><\/p>\n\n\n\n

Identifica el intervalo m\u00e1s estrecho que contenga la masa de probabilidad especificada. Esta es la regi\u00f3n donde la densidad de probabilidad es m\u00e1s alta, lo que indica que esos valores del par\u00e1metro est\u00e1n m\u00e1s respaldados por los datos.<\/p>\n\n\n\n

Paso 4: Definir el HDI<\/strong><\/p>\n\n\n\n

El intervalo resultante es tu HDI, que representa el rango m\u00e1s cre\u00edble de valores del par\u00e1metro.<\/p>\n\n\n\n

Diferencia entre HDI e intervalo de confianza<\/strong><\/h2>\n\n\n\n
Factor<\/td>HDI<\/td>Confidence interval <\/td><\/tr>
Motor estad\u00edstico<\/td>Bayesiano<\/td>Frequentist<\/td><\/tr>
Definici\u00f3n<\/td>Rango que contiene una masa de probabilidad especificada donde los valores del par\u00e1metro tienen la mayor densidad de probabilidad; representa los valores m\u00e1s cre\u00edbles seg\u00fan los datos y el conocimiento previo.<\/td>Rango que contendr\u00eda el valor real del par\u00e1metro en un porcentaje especificado de muestreos repetidos.<\/td><\/tr>
Interpretaci\u00f3n<\/td>Probabilidad de que el par\u00e1metro se encuentre dentro del intervalo dado el conjunto de datos.<\/td>Confianza en el procedimiento, no probabilidad sobre el par\u00e1metro.<\/td><\/tr>
Enfoque<\/td>Valores m\u00e1s cre\u00edbles del par\u00e1metro basados en la evidencia observada.<\/td>Fiabilidad procedimental en muestreos hipot\u00e9ticos repetidos.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

HDI en los informes de VWO<\/strong><\/h2>\n\n\n\n

Los informes de VWO utilizan el HDI para proporcionar insights completos sobre el rendimiento de las pruebas mediante an\u00e1lisis estad\u00edstico bayesiano. La tabla de informes muestra los datos de cada variaci\u00f3n con la variante de control establecida como referencia predeterminada, aunque puedes cambiar esto usando la opci\u00f3n \u00abUsar como l\u00ednea base\u00bb.<\/p>\n\n\n\n

VWO presenta la tasa de conversi\u00f3n mediana que puedes esperar de cada variaci\u00f3n, acompa\u00f1ada de los valores de mejor caso y peor caso que representan el HDI. Este rango de HDI muestra d\u00f3nde es m\u00e1s probable que se encuentre tu tasa de conversi\u00f3n real, lo que te proporciona una comprensi\u00f3n realista de los l\u00edmites de rendimiento en lugar de solo una estimaci\u00f3n puntual.<\/p>\n\n\n\n

\"Informe
Informes de VWO con HDI en recuadros rojos<\/figcaption><\/figure>\n\n\n\n

Al presentar el HDI, los informes de VWO permiten que los equipos tomen decisiones de optimizaci\u00f3n con confianza, bas\u00e1ndose en los resultados m\u00e1s probables y no en estimaciones inciertas.Para m\u00e1s detalles sobre los informes de VWO, explora nuestra documentaci\u00f3n completa del producto<\/a> y las actualizaciones de producto<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

El High Density Interval (HDI) identifica el rango con mayor densidad de probabilidad que contiene una masa de probabilidad especificada.<\/p>\n","protected":false},"author":801,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-5844","post","type-post","status-publish","format-standard","hentry","category-unkategorisiert"],"acf":[],"yoast_head":"\nHigh Density Interval | VWO<\/title>\n<meta name=\"description\" content=\"El High Density Interval (HDI) identifica el rango con mayor densidad de probabilidad que contiene una masa de probabilidad especificada.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/vwo.com\/glossary\/es\/high-density-interval\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta 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